Abstract: Airport gate visual docking guidance system digital twin methods, systems, and devices are described herein. One method includes: identifying that a device of the visual docking guidance system is non-responsive, determining which device is non-responsive, initiating start-up of one visual docking guidance system program selected from: a visual docking guidance system software program, a central computing system program, or an operating station program, selecting a digital twin data set corresponding to the device of the visual docking guidance system that was non-responsive, wherein the set includes parameter data that was customized by a user of the visual docking guidance system and is particular to the device of the visual docking guidance system that was non-responsive, and sending the digital twin parameter data to the device of the visual docking guidance system that was non-responsive to update one or more parameters stored in association with the visual docking guidance system program.

Abstract: Airport gate visual docking guidance system digital twin methods, systems, and devices are described herein. One method includes: identifying that a device of the visual docking guidance system is non-responsive, determining which device is non-responsive, initiating start-up of one visual docking guidance system program selected from: a visual docking guidance system software program, a central computing system program, or an operating station program, selecting a digital twin data set corresponding to the device of the visual docking guidance system that was non-responsive, wherein the set includes parameter data that was customized by a user of the visual docking guidance system and is particular to the device of the visual docking guidance system that was non-responsive, and sending the digital twin parameter data to the device of the visual docking guidance system that was non-responsive to update one or more parameters stored in association with the visual docking guidance system program.

Abstract: Tracking aircraft in and near a ramp area is described herein. One method includes receiving camera image data of an aircraft while the aircraft is approaching or in the ramp area, receiving LIDAR/Radar sensor data of an aircraft while the aircraft is approaching or in the ramp area, merging the camera image data and the LIDAR/Radar sensor data into a merged data set, and wherein the merged data set includes at least one of: data for determining the position and orientation of the aircraft relative to the position and orientation of the ramp area, data for determining speed of the aircraft, data for determining direction of the aircraft, data for determining proximity of the aircraft to a particular object within the ramp area, and data for forming a three dimensional virtual model of at least a portion of the aircraft from the merged data.

Abstract: Tracking aircraft in and near a ramp area is described herein. One method includes receiving camera image data of an aircraft while the aircraft is approaching or in the ramp area, receiving LIDAR/Radar sensor data of an aircraft while the aircraft is approaching or in the ramp area, merging the camera image data and the LIDAR/Radar sensor data into a merged data set, and wherein the merged data set includes at least one of: data for determining the position and orientation of the aircraft relative to the position and orientation of the ramp area, data for determining speed of the aircraft, data for determining direction of the aircraft, data for determining proximity of the aircraft to a particular object within the ramp area, and data for forming a three dimensional virtual model of at least a portion of the aircraft from the merged data.

Abstract: Airport gate visual docking guidance system digital twin methods, systems, and devices are described herein. One method includes: identifying that a device of the visual docking guidance system is non-responsive, determining which device is non-responsive, initiating start-up of one visual docking guidance system program selected from: a visual docking guidance system software program, a central computing system program, or an operating station program, selecting a digital twin data set corresponding to the device of the visual docking guidance system that was non-responsive, wherein the set includes parameter data that was customized by a user of the visual docking guidance system and is particular to the device of the visual docking guidance system that was non-responsive, and sending the digital twin parameter data to the device of the visual docking guidance system that was non-responsive to update one or more parameters stored in association with the visual docking guidance system program.

Abstract: Tracking aircraft in and near a ramp area is described herein. One method includes receiving camera image data of an aircraft while the aircraft is approaching or in the ramp area, receiving LIDAR/Radar sensor data of an aircraft while the aircraft is approaching or in the ramp area, merging the camera image data and the LIDAR/Radar sensor data into a merged data set, and wherein the merged data set includes at least one of: data for determining the position and orientation of the aircraft relative to the position and orientation of the ramp area, data for determining speed of the aircraft, data for determining direction of the aircraft, data for determining proximity of the aircraft to a particular object within the ramp area, and data for forming a three dimensional virtual model of at least a portion of the aircraft from the merged data.

Abstract: Airport gate visual docking guidance system digital twin methods, systems, and devices are described herein. One method includes: identifying that a device of the visual docking guidance system is non-responsive, determining which device is non-responsive, initiating start-up of one visual docking guidance system program selected from: a visual docking guidance system software program, a central computing system program, or an operating station program, selecting a digital twin data set corresponding to the device of the visual docking guidance system that was non-responsive, wherein the set includes parameter data that was customized by a user of the visual docking guidance system and is particular to the device of the visual docking guidance system that was non-responsive, and sending the digital twin parameter data to the device of the visual docking guidance system that was non-responsive to update one or more parameters stored in association with the visual docking guidance system program.

Abstract: Tracking aircraft in and near a ramp area is described herein. One method includes receiving camera image data of an aircraft while the aircraft is approaching or in the ramp area, receiving LIDAR/Radar sensor data of an aircraft while the aircraft is approaching or in the ramp area, merging the camera image data and the LIDAR/Radar sensor data into a merged data set, and wherein the merged data set includes at least one of: data for determining the position and orientation of the aircraft relative to the position and orientation of the ramp area, data for determining speed of the aircraft, data for determining direction of the aircraft, data for determining proximity of the aircraft to a particular object within the ramp area, and data for forming a three dimensional virtual model of at least a portion of the aircraft from the merged data.

Abstract: Methods, devices, and systems for aircraft identification are described herein. In some examples, one or more embodiments include a computing device comprising a memory and a processor to execute instructions stored in the memory to simulate virtual light detection and ranging (Lidar) sensor data for a three-dimensional (3D) model of an aircraft type to generate a first point cloud corresponding to the 3D model of the aircraft type, generate a classification model utilizing the simulated virtual Lidar sensor data of the 3D model of the aircraft type, and identify a type and/or sub-type of an incoming aircraft at an airport by receiving, from a Lidar sensor at the airport, Lidar sensor data for the incoming aircraft, generating a second point cloud corresponding to the incoming aircraft utilizing the Lidar sensor data for the incoming aircraft, and classifying the second point cloud corresponding to the incoming aircraft using the classification model.

Abstract: Airport gate visual docking guidance system digital twin methods, systems, and devices are described herein. One method includes: identifying that a device of the visual docking guidance system is non-responsive, determining which device is non-responsive, initiating start-up of one visual docking guidance system program selected from: a visual docking guidance system software program, a central computing system program, or an operating station program, selecting a digital twin data set corresponding to the device of the visual docking guidance system that was non-responsive, wherein the set includes parameter data that was customized by a user of the visual docking guidance system and is particular to the device of the visual docking guidance system that was non-responsive, and sending the digital twin parameter data to the device of the visual docking guidance system that was non-responsive to update one or more parameters stored in association with the visual docking guidance system program.

Abstract: Tracking aircraft in and near a ramp area is described herein. One method includes receiving camera image data of an aircraft while the aircraft is approaching or in the ramp area, receiving LIDAR/Radar sensor data of an aircraft while the aircraft is approaching or in the ramp area, merging the camera image data and the LIDAR/Radar sensor data into a merged data set, and wherein the merged data set includes at least one of: data for determining the position and orientation of the aircraft relative to the position and orientation of the ramp area, data for determining speed of the aircraft, data for determining direction of the aircraft, data for determining proximity of the aircraft to a particular object within the ramp area, and data for forming a three dimensional virtual model of at least a portion of the aircraft from the merged data.

Abstract: Devices, methods, and systems for airside performance analysis are described herein. One system includes a computing device to: receive key performance indicator (KPI) data from a number of different system monitors, correlate the KPI data to generate a number of graphical representations of the correlated KPI data, link the number of widgets to update the corresponding report based on a received selection, and display a number of widgets that generate a corresponding report of the correlated KPI data.

Abstract: Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules.

Abstract: Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules.

Abstract: Methods, devices, and systems for airfield traffic status management are described herein. One device includes a memory, and a processor to execute executable instructions stored in the memory to receive airport information associated with an airport, generate, using the airport information, an aircraft arrival and departure analysis, where the aircraft arrival and departure analysis includes aircraft scheduled to arrive at the airport in a graphical view and aircraft scheduled to depart from the airport in the graphical view, where the graphical view includes a graphical representation of an amount of aircraft scheduled to arrive at or depart from the airport for a particular time period, and display the aircraft arrival and departure analysis in a single integrated display.

Abstract: Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules.

Abstract: Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules.

Abstract: Methods, devices, and systems for airfield traffic status management are described herein. One device includes a memory, and a processor to execute executable instructions stored in the memory to receive airport information associated with an airport, generate, using the airport information, an aircraft arrival and departure analysis, where the aircraft arrival and departure analysis includes aircraft scheduled to arrive at the airport in a graphical view and aircraft scheduled to depart from the airport in the graphical view, where the graphical view includes a graphical representation of an amount of aircraft scheduled to arrive at or depart from the airport for a particular time period, and display the aircraft arrival and departure analysis in a single integrated display.

Abstract: Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules.

Abstract: Devices, methods, and systems for distributed rule based automated fault detection are described herein. One system includes a data extractor engine configured to: extract configuration data relating to an environment based on a number of defined rules, and receive monitored data relating to the environment, an AFD engine configured to evaluate the monitored data in view of the configuration data to determine a state of the environment, and a fault generation engine to determine whether the state of the environment is outside a range defined by the number of defined rules.