22 results about "Air traffic controller" patented technology

Generally discussed herein are systems, apparatuses, and methods for generating a Controller Pilot Data Link Communication (CPDLC) digital message. This can include: a digital interface system configured to receive input from one of a pilot or an air traffic controller. The digital interface system can optionally include: a digital message generator configured to receive the input and decode an intent of the input within an aviation context. The digital message generator can be configured to determine a sample response based upon the intent. This can further include: a compliance system configured to review the sample response for a potential error. If cleared by the review of the compliance system, the digital interface system issues the sample response as the CPDLC digital message.

To provide a system for preventing an accident by detecting a recognition discrepancy or an operation mistake between a controller and a pilot in real time.SOLUTION: A system comprising: means for receiving voice communication data between an air traffic controller and a pilot of an aircraft; means for converting the received voice communication data into text data; means for extracting instruction content from the converted text data; means for generating a predicted action based on the extracted instruction content; means for collecting current position data of the aircraft from a GPS; means for monitoring an actual action of the aircraft based on the collected GPS data; means for comparing the monitored action of the aircraft with the predicted action to detect an abnormality; and means for generating and notifying an alert when the abnormality is detected.SELECTED DRAWING: Figure 1

The application provides a controller CBTA evaluation system and method based on a multi-dimensional competency model. A first air traffic control task is input by an input module. The first air traffic control task includes multiple task stages and multiple sets of task parameters. Each task stage corresponds to a set of task parameters. A loading module loads a multi-dimensional competency model. The multi-dimensional competency model includes multiple competency models. A data acquisition module is configured to obtain multiple sets of historical assessment data corresponding to multiple air traffic controllers according to the multiple task stages and the multiple sets of task parameters. An evaluation module determines multiple evaluation results according to the multiple task stages, the multiple sets of task parameters, the multi-dimensional competency model, and the multiple sets of historical assessment data. An output module selects a target evaluation result according to the multiple evaluation results and outputs a target air traffic controller corresponding to the target evaluation result. The corresponding controller can be dynamically matched based on the task itself, so that the controller CBTA evaluation is more intelligent.

The invention discloses a physiological data acquisition method for an air traffic controller, and relates to the technical field of data acquisition, and the method comprises the steps: obtaining the multi-modal physiological data of the air traffic controller at the current moment; inputting the multi-modal physiological data into the trained fatigue-emotion evaluation model to obtain a predicted fatigue score and predicted emotion state probability distribution at the current moment; based on the predicted fatigue score, the predicted emotional state probability distribution and the multi-modal physiological data, processing tasks of different priorities are generated; processing tasks are executed according to priorities through a hierarchical scheduling algorithm, and physiological data collection is completed. Through multi-modal data fusion and model evaluation, the physiological state of the controller is accurately obtained, tasks are processed according to priorities, timely response of key data is guaranteed, reliable physiological information support is provided for air traffic control, and the flight safety guarantee level is improved.

A method for automatically proposing an air conflict resolution, the method includes a step of receiving air conflict and air situation data at a time when an air conflict is detected, the method comprising the steps of: determining a conflict category associated with the detected air conflict based on the conflict data; determining a degree of relevance in proposing a resolution to the air conflict according to the category and the air situation; determining one or more types of resolution to be applied to resolve the detected air conflict according to the degree of relevance; determining set of alternative trajectories corresponding to the one or more types of resolution; determining a set of candidate trajectories from among the set of alternative trajectories, a candidate trajectory being an alternative trajectory which does not generate an air conflict; selecting, from among the candidate trajectories, a candidate trajectory which fulfills a selection criterion relating to the operational relevance of the candidate trajectories and to the acceptability of the candidate trajectories by the flight plan management system; returning the candidate trajectory, the candidate trajectory being saved and re-evaluated as long as it does not generate an air conflict or has not been accepted by an air traffic controller.

The invention provides a voice call scoring method and device for controller simulation training, equipment and a medium. The method comprises the steps that the total number of execution instructions and the number of matching instructions are determined according to a call voice recognition text; determining the number of successful execution instructions according to the instruction execution result state; determining the number of state invalid instructions according to the call voice recognition text and the instruction execution result state; determining an identification accuracy score according to the matching instruction number and a preset accuracy weight; determining an identification validity score according to the number of successful execution instructions and a preset success rate weight; determining a flow normalization score according to the missing instruction number, the execution sequence error instruction number and the redundant instruction number; determining a scene awareness score according to the number of state invalid instructions and the total number of execution instructions; summing the identification accuracy score, the identification validity score, the process normalization score and the scene consciousness score to obtain a simulation training score; and determining a simulation training evaluation grade according to the simulation training score. And the evaluation efficiency is effectively improved.

The invention discloses a method for continuously monitoring cognitive load of an air traffic controller, which comprises the following steps of: firstly, acquiring multi-channel electroencephalogram signals of the air traffic controller under different working scenes and different cognitive load levels, and constructing a sample relation set with subject invariant, scene invariant and double-domain invariant constraints; then, inputting the windowed electroencephalogram into a double-branch space-time encoder, extracting multi-band local space-time characteristics by one branch, learning global function connection characteristics between channels by the other branch, and carrying out difference fusion on two outputs to obtain unified multi-scale potential representation; and through a decoupling projection module and a multi-domain contrast loss function, samples of the same cognitive load level are gathered in each space, and samples of different load levels are separated in each space, so that the interference of individual difference and scene difference on a discrimination result is explicitly weakened. The method still has high decoding precision and stability under the condition that significant individual differences and scene differences exist, and reliance on person-by-person calibration is relieved.

This invention discloses a method and system for predicting the performance of air traffic controllers in high-altitude areas based on smart bracelets. It relates to the fields of air traffic management, high-altitude medicine, and wearable computing. The method includes collecting physiological data such as heart rate, blood oxygen, and blood pressure via a smart bracelet; simultaneously acquiring environmental data such as altitude and visibility; extracting reaction time and error rate from voice data; performing data cleaning and alignment; inputting multimodal data into a deep fusion neural network model to calculate comprehensive risk indicators; triggering alerts and visually outputting the status when the indicators exceed dynamic thresholds, while simultaneously generating automated intervention suggestions. This invention, specifically designed for the low-oxygen environment of high altitudes, achieves deep attentional fusion of physiological, environmental, and behavioral data, constructing a dedicated prediction model suitable for high-altitude airports and forming a complete closed loop of "perception-prediction-intervention," providing an intelligent and non-intrusive proactive management tool for air traffic control safety.

A system is provided.SOLUTION: A system comprising: means for receiving real-time communications from pilots and air traffic controllers; means for converting the received communications into text data; means for inputting the text data into a generative AI model for analysis; means for detecting errors that have occurred and generating warning messages; and means for transmitting the warning messages to terminals for display.SELECTED DRAWING: Figure 1

The invention relates to an aeronautical meteorology and track cooperative monitoring method, and belongs to the technical field of civil aviation monitoring methods. The method comprises the following specific steps: step (1), multi-source data acquisition and access: receiving two types of data in real time through a standard data interface; (2) data analysis processing: analyzing and decoding the received heterogeneous data; step (3), data fusion and association, including spatial superposition, space-time matching, influence area analysis and track-weather association; and step (4), layered collaborative rendering and visual output are carried out. According to the method, deep data fusion is realized, simple layer superposition is exceeded, association and influence analysis of the track and the meteorological data are realized, a prospective decision basis is provided for air traffic controllers and dispatchers, cognitive loads are reduced, working efficiency is improved, the error rate is reduced, and safety is improved.

The invention relates to a method and a communication system for improving the playback quality of audio signals which have been transmitted by radio, in particular by an aircraft (10), as a radiotelephony message (11), wherein k) at least one unchanged audio signal (1) is received by a communication system (12), the unchanged audio signal comprising a useful signal and an interfering signal, and the interfering signal being composed of a plurality of interfering signal components, l) the interfering signal components are removed from the audio signal, and an air traffic controller workstation (13) connected to the communication system plays said audio signal back to an air traffic controller (14) in real time as an audio signal which has been filtered by a filter, m) a differential signal between the unchanged audio signal and the filtered audio signal is formed in parallel with the playback at the air traffic controller workstation, n) a device for quality inspection checks the differential signal for any voice components of the radiotelephony message which may be present, and o) if a predetermined quality threshold value is not reached, an action at the air traffic controller workstation is triggered.

A flight management system executes a method for arrival procedure display logic to reduce the overhead of pilots and air traffic controller by displaying a list of available arrival procedures sorted in a priority order based on headwind, estimated fuel on board, and estimated time of arrival. The pilot can select one of the available arrival procedures and request approval of the selected arrival procedure from the air traffic controller. The air traffic controller can clear the pilot for the selected arrival procedure or reject the selected arrival procedure if the selected arrival procedure is unavailable.

This invention discloses a method for identifying aircraft circling and holding based on real-time ADS-B data. The method flow is as follows: Step 1: Obtain aircraft data information based on ADS-B data and identify valid data where the aircraft altitude is greater than 0. Construct a set of continuous operating azimuth angles for the aircraft using real-time ADS-B data and based on the azimuth function. Step 2: Construct a function for calculating the positive and negative tolerances of azimuth and inverse azimuth angles, using the azimuth quadrant as a reference. Step 3: Establish a circling and landing identification model to determine whether a flight has triggered circling and holding. Compared with existing technologies, this invention proposes and establishes a circling and landing identification model based on real-time ADS-B trajectory data, according to the characteristics of aircraft circling and holding operations. The identification technology based on this model can accurately identify the circling and holding state of an aircraft in real time, as well as the real-time data during the circling state, so that air traffic controllers can make timely decisions.

The invention relates to the field of data processing methods for management purposes, and discloses an air traffic controller core competency evaluation method based on data reliability coupling, which comprises the following steps: acquiring a judgment matrix of a scoring expert, calculating a consistency ratio, acquiring scoring data of a controller, and calculating a dispersion characteristic; the subjective data validity is judged based on the consistency ratio, if the consistency ratio is larger than a preset threshold value, the subjective reliability coefficient is set to be zero to trigger fusing, otherwise, the subjective reliability coefficient and the objective reliability coefficient are calculated based on the consistency ratio and the dispersion feature, and a basic combination weight is generated; for each controller, when the score of the controller on a certain index is lower than a safety threshold value, calculating a state variable weight multiplier enabling the weight of the index to be increased according to an exponential function; and performing normalization correction on the basic weight to obtain a final weight, and calculating a comprehensive evaluation score. According to the method, low-quality evaluation data is effectively eliminated, the problem that high-score covering safety is short is solved, and high credibility and safety guidance of an evaluation result are achieved.

The invention belongs to the technical field of meteorological information processing and early warning in an air traffic control system, and particularly relates to a control tower local meteorological information early warning and runway light luminosity level auxiliary decision-making system, which comprises the following steps: acquiring and displaying the latest local meteorological forecast message and observation message, and giving an alarm when the local meteorological observation special message appears; by acquiring real-time data of an automatic meteorological observation system of the field, key meteorological parameters such as QNH (corrected sea level air pressure), VIS (runway visibility) and cloud height are dynamically monitored and displayed, and a corresponding alarm prompt is provided when the parameter change exceeds a preset threshold value; calculating a recommended runway light luminosity level in combination with the current meteorological condition and the sunrise and sunset time, comparing the recommended runway light luminosity level with an actual set value, and if the recommended runway light luminosity level is not consistent with the actual set value, providing early warning and runway light luminosity level mode adjustment suggestions to control personnel; a controller can conveniently carry out comprehensive judgment by combining data provided by the system with field conditions, so that the controller is assisted to timely make accurate runway light luminosity level setting and operation decisions, and the safety and efficiency of aviation operation are improved.

The application relates to an airport cluster runway operation mode prediction method based on a dynamic graph, and belongs to the technical field of air traffic control operation management. The application constructs an airport cluster runway operation mode prediction dynamic graph model, obtains the prediction of a multi-runway operation mode based on the runway operation mode prediction dynamic graph model, is suitable for an airport cluster operation scene, continuously predicts the multi-runway operation mode of all operation time periods, not only supports accurate runway scheduling of air traffic controllers, but also can provide strong data support for the overall strategy of the airport cluster.

The method S200 can include receiving an audio utterance from an air traffic controller at an aircraft S210, converting the audio utterance to text, determining a command from the text using a question and answer model S240, and optionally regulating the aircraft based on the command S250. The method is for automatically interpreting flight commands from air traffic control (ATC) streams.

A method for managing air traffic in one or more sectors of a controlled airspace is disclosed, including defining a first sector configuration of at least two adjacent sectors in the airspace, each sector being assigned to a station controller in an air traffic control station and a communication channel. The method includes monitoring, for each sector, an anticipated level of air traffic controller workload over a selected time interval, and detecting a difference greater than a pre-selected threshold in anticipated levels of air traffic controller workload in the two adjacent sectors over the selected time interval. The method includes redefining the first sector configuration into a second sector configuration of the two adjacent sectors, such that the difference in controller workload in the two adjacent sectors is below the threshold, and then implementing the second sector configuration.

This invention discloses a method for predicting arrival and departure procedures based on QAR data and airport self-observed meteorological data. It involves matching historical QAR actual flight trajectories with intelligence trajectories; extracting the date attribute, time information, and corresponding runway meteorological information from the matched QAR data to construct a terminal area procedure prediction model; training the model on the data; and using the trained model to predict usable terminal area procedures, which are then recommended to air traffic controllers for rapid command and control. Compared to existing technologies, this invention's method for predicting arrival and departure procedures based on QAR data and airport self-observed meteorological data utilizes a large amount of historical QAR data, combined with meteorological and intelligence information, to perform historical data matching and machine learning to identify usable and optimal terminal area procedures, which are then recommended to air traffic controllers for rapid control and command.

1. The name of the design product: air traffic controller work statistics graphical user interface for electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: the graphical user interface content in the screen. 4. The picture or photo that best indicates the design points: change state diagram 1. 5. The use of the graphical user interface: the main view is the navigation interface display diagram after the controller opens the system; change state diagram 1 is the statistical data display diagram of the terminal control room clock-in data by office and seat, which is obtained by clicking the regular statistical module in the clock-in data in the main view; change state diagram 2 is the display diagram of the terminal control room sector number record, which is obtained by scrolling down the page from change state diagram 1; change state diagram 3 is the display diagram of the terminal control room office statistical sector number record, which is obtained by clicking the office from change state diagram 2; change state diagram 4 is the display diagram of the terminal control room duty hours according to personnel statistics, which is obtained by scrolling down the page from change state diagram 3; change state diagram 5 is the display diagram of the terminal control room personnel duty details, which is obtained by scrolling down the page from change state diagram 4.

The application discloses an air controller fatigue determination method based on random forest classification and relates to the technical field of data processing. The method comprises the following steps: collecting screen parameters; constructing a DAG graph, inputting the screen parameters, and calculating causal Markov property and real causal effect; based on the real causal effect, performing Bayesian optimization on a random forest classification model; and determining the fatigue degree of the controller by using the random forest classification model. The method takes multi-dimensional screen parameters as intervention variables, can maintain high interpretability and anti-interference ability under the interference of confusing factors, has strong scene adaptability and robustness, and can realize real-time determination of the fatigue degree of the controller.