KR101296462B1 - System for processing information of air traffic control - Google Patents

Abstract

An integrated information processing system for air traffic control is provided. In some embodiments, the air traffic control information processing system may include Primary Surveillance Radar (PSR) sensing data, Secondary Surveillance Radar (SSR) mode a / c, mode-S sensing data, Automatic Dependent Surveillance-Broadcast (ADS-B) sensing data, and It includes a surveillance data processing unit that receives the MLAT (Multilateration) data to perform data processing for positioning the aircraft, and also includes a flight data processing unit that receives the aircraft flight data to reflect the data processing Includes a system of manifestations (CWPs) that integrates data to assist controllers in their control.

Description

Integrated information processing system for air traffic control {SYSTEM FOR PROCESSING INFORMATION OF AIR TRAFFIC CONTROL}

An embodiment of the present invention relates to an integrated information processing system for air traffic control, and more particularly, to an integrated information processing method for air control such as data display technology, surveillance data processing, flight data processing and system surveillance control. Associated.

In order to maintain an orderly flow of aircraft and prevent aviation accidents, an air traffic control information processing system operating a domestic civil or military air traffic control system is operating.

The air traffic control system prevents collision between aircraft and collision between aircraft and obstacles in advance, and improves the safety and efficiency of air traffic by managing the operating conditions of the aircraft.

In addition, the air traffic control system plays a big role in aviation safety by providing the controller with the identification and presenting of aircraft, presenting and distributing flight plan data, flight safety warnings, and processing the required data of the controller. But the outlook for the market is bright.

However, the air control systems currently operated in Korea are all introduced from abroad, and are operated in 14 access control centers and 24 airport control towers, centered on the ATC, which is responsible for the Incheon Flight Information Zone.

On the other hand, due to the total overseas dependence of the air traffic control system, the technical subordination and excessive spending of the introduction / operation cost need to be improved, and it is important to increase the leading design and integration technology of the next generation air traffic management system. have.

Already developed countries have adopted CNS (Communication Navigation Surveillance) technologies globally, including mid- to long-term plans to modernize the US National Airspace System and single European Sky ATM Research Program (SESAR) ATM modernization plans aimed at single airspace in Europe. As a result, the development is being made toward integrating existing radar and next-generation aviation communication and surveillance system.

Therefore, based on the operation experience of domestic civil aviation, which occupies the top 10 in the world of air transport scale and IT basic / base technology, we secure design technology of integrated air control system and secure air traffic safety by developing and standardizing pilot operation system. In addition to improving efficiency, the next-generation integrated air traffic control system should be developed to promote aviation safety and further export technology.

To enhance aviation safety, an integrated information processing system is provided that integrates and processes radar-based surveillance information, flight data, and control information processing.

An integrated control system is provided that integrates surveillance data with flight data and delivers them to the CWP.
An integrated control system is provided that integrates surveillance data and flight data into an integrated interface and delivers them to the CWP.

According to one aspect of the present invention, Primary Surveillance Radar (PSR) sensing material, Secondary Surveillance Radar (SSR) mode a / c, mode-S sensing material, ADS-B (Automatic Dependent Surveillance-Broadcast) sensing material, and MLAT (Multilateration) An air traffic control information processing system including a surveillance data processing unit for receiving data and performing data processing for locating an aircraft, and a flight data processing unit receiving aircraft flight data and reflecting the data in the data processing is provided.

According to an embodiment of the present invention, the surveillance data processing unit performs the data processing by applying an interactive multiple model (IMM) filter.

In this case, the flight data processor may perform 4D flight trajectory prediction using the flight plan included in the flight data to reflect the data.

In addition, the flight data processing unit may be reflected in the data processing by improving the TEM (Total Energy Model) in performing the data processing.

According to an embodiment of the present invention, the flight data processing unit improves the accuracy of calculating the distance between points using a Vincent Formular Algorithm and reflects the data to the data processing.

On the other hand, the manifestation system may receive at least one of weather radar measurement data or cloud photography data to reflect in the data processing.

In this case, the manifestation system allows at least one of weather radar measurement data or cloud photography data to be viewed at the same time with various control data at the same time. The air traffic control information processing system further includes an emergency conversion processing unit for temporarily performing data processing when the monitoring data processing unit does not operate normally.

On the other hand, if the data processing result is delivered to the software maintenance system which is a subsystem of the air traffic control system, the software maintenance system can use this to perform automatic map editing and distribute to other subsystems.

According to another aspect of the present invention, Primary Surveillance Radar (PSR) sensing material, Secondary Surveillance Radar (SSR) mode a / c, mode-S sensing material, ADS-B (Automatic Dependent Surveillance-Broadcast) sensing material, and MLAT (Multilateration) The air traffic control information processing method includes: a surveillance data processing step of receiving data and performing data processing for locating the aircraft; and a flight data processing step of receiving aircraft flight data and reflecting the data in the data processing. Is provided.

Radar-based surveillance information, next-generation surveillance sensor data, and flight data are integrated for air control, improving air traffic accuracy and convenience.

Monitoring data and flight data are linked to greatly improve the visibility and information transfer of present data.

1 is a block diagram of an integrated information processing system according to an embodiment of the present invention.
2 illustrates examples of various data providing sources for providing sensing data to a surveillance data processing unit of an information processing system according to an exemplary embodiment of the present invention.
3 illustrates an example representation of a 4D flight trajectory prediction environment and its prediction result according to an embodiment of the present invention.
4 is a conceptual diagram illustrating a process of performing an event warning process through a sub-system by a surveillance data processing unit of an information processing system according to an embodiment of the present invention.
5 is a diagram for explaining an exemplary airplane departure / arrival management manifestation.
FIG. 6 illustrates a cloud photograph or weather radar sensing data linked to a control display screen according to an embodiment of the present invention.
7 illustrates an exemplary aspect in which PBN navigation capable flight manifestations are performed in accordance with one embodiment of the present invention.
8 is a conceptual diagram illustrating a process and a result of applying an interactive multiple model (IMM) filter by a surveillance data processor according to an embodiment of the present invention.
FIG. 9 is a block diagram illustrating contents for improving track accuracy by multi-radar tracking according to an embodiment of the present invention.
10 is a conceptual diagram illustrating an application example of a track tracking technique according to an embodiment of the present invention.
11 is an exemplary graph for explaining a result of achieving prediction accuracy by using a BADA TEM according to an embodiment of the present invention.
12 is a diagram illustrating a process of performing aircraft position prediction by interpolation or extrapolation according to an embodiment of the present invention.
13 is a block diagram of the flight plan management table by the flight data processing unit according to an embodiment of the present invention.
14 is a conceptual diagram illustrating a flight plan state management timer by a flight data processor according to an embodiment of the present invention.
15 illustrates an example of a DB table structure for managing SSR codes according to an embodiment of the present invention.
16 is a view illustrating event processing performed in an external system monitoring and control system according to an embodiment of the present invention.
17 is an exemplary screen of a conventional air control display screen shown in order to compare the air control system according to an embodiment of the present invention with the conventional control display screen.
18 is an exemplary graph showing the result of improved accuracy of the multi-radar track processing in accordance with one embodiment of the present invention.
19 is an exemplary graph comparing an error between actual data and a trajectory modeling result value according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram of an integrated information processing system according to an embodiment of the present invention.

According to an embodiment of the present invention, the integrated information processing system 100 for air traffic control is a communication interface 110, which is used to receive various external sensing data through a communication network, the sensor data for the aircraft operation If the monitoring data processing unit 130 to process, the flight data processing unit 140 and the monitoring data processing unit 130 and the like reflected in the aircraft flight data processing using the flight data does not perform a normal operation system 100 It includes an emergency conversion processing unit 120 for performing the data processing for the operation.

The integrated information processing system 100 for the air traffic control system is a sub-system, a manifestation system 161, a system monitoring and control system 162, a data recording system 163, a simulation system 164, and software maintenance. The system 165 may be interworked with the routing of the LAN subsystem interworking unit 150.

The information processing system 100 receives radar data 101 sensed by various radars, flight data 102 including flight plans, next-generation monitoring sensor data 103, CPDCL, AIDC data 104, and the like.

According to an embodiment of the present invention, the radar data 101 includes weather data observed by the radar as well as various radar measurement data for detecting a vehicle.

Next-generation surveillance sensor data 103 includes Primary Surveillance Radar (PSR) sensing data, Secondary Surveillance Radar (SSR) mode a / c, mode-S sensing data, Automatic Dependent Surveillance-Broadcast (ADS-B) sensing data, and MLAT ( Multilateration) data.

The surveillance data processor 130 receives and fusions these data to accurately predict and track the current aircraft position or flight trajectory.

According to an embodiment of the present invention, the surveillance data processing unit 130 applies the interactive multi-model (IMM) filter to perform the data processing.

Existing systems are not optimized for various flight modes using a single Kalman filter, but according to an embodiment of the present invention, multiple models (IMM, Interacting Multiple Model) applying various flight modes (Uniform Motion, Uniform Speed Change, Standard Turn) Filters can be used to improve tracking accuracy in many flight modes.

Advantages of using this IMM filter are as follows.

-The theoretically optimal multi radar tracking method

-Improved system track accuracy by using multiple radar

Improved tracking performance for maneuvering tracks (short plot interval)

In this case, the flight data processor 140 may perform 4D flight trajectory prediction using the flight plan included in the flight data and reflect the data in the data processing.

In addition, the flight data processing unit 140 may be reflected in the data processing by improving the TEM (Total Energy Model) in performing the data processing.

According to an embodiment of the present invention, the flight data processing unit 140 improves the accuracy of calculating the distance between points by using the Vincenty Formular Algorithm and reflects it in the data processing.

Vincenty's formula is the longitude formula known to be the most accurate in the modern age because it can calculate the distance, azimuth, and position error on ellipse more accurately by 1m.

Meanwhile, the surveillance data processor 130 may receive at least one of weather radar measurement data or cloud photography data and reflect the data on the data processing.

In this case, the surveillance data processor 130 synthesizes at least one of weather radar measurement data or cloud photography data with data processing for locating the aircraft and transmits the data to a manifestation system that is a sub-system of the air traffic control system.

According to one embodiment of the present invention, the air traffic control information processing system 100 further comprises an emergency conversion processing unit 120 that can perform data processing when the monitoring data processing unit 130 and the like does not perform a normal operation. Include.

Meanwhile, a software maintenance system (SMS) 165, which is a subsystem of the air traffic control system, may edit and distribute a map for use by other subsystems for data processing.

In the subsystems, the system displays < RTI ID = 0.0 > CWP < / RTI > A data recording & playback system (DRP) 163, a simulation system 164, and the like can be included.

The data recording system 163 provides a function of recording and playing back data. The replay & playback system according to the conventional system simply provides the service of the tape recording and playback level of the control video, but according to an embodiment of the present invention, the active mode as well as the passive mode (control video recording and playback) mode (storing and reproducing control data) is possible.

In this mode, the active radar data is reproduced to reproduce the control screen at the time, enabling the CWP function or reinforcing functions such as speed control, interruption, and restart.

Description of each block is outlined above, and the operation of the detailed configuration and various embodiments of the present invention will be described later in more detail with reference to FIGS. 2 to 19.

2 illustrates examples of various data providing sources for providing sensing data to a surveillance data processing unit of an information processing system according to an exemplary embodiment of the present invention.

ADS-B (Automatic Dependent Surveillance-Broadcast) 210 is a type of function that occurs in aircraft or ground equipment that periodically broadcasts its operating status (horizontal, vertical position, and speed). Aircraft limitations (disruption of communication due to lack of visibility) It is used to induce safe flight through minimizing, improving air control, and preventing aircraft collisions.

The PSR / SSR 220 represents Primary Surveillance Radar and Secondary Surveillance Radar, respectively, and is installed in most airports and control facilities.

PSR is a ground radar to determine the position of the aircraft, and is a common radar to measure the distance by using a reflected wave coming back directly hit the aircraft.

SSR is a method in which a ground controller acquires various information of the aircraft by directly transmitting the necessary information to the radar when the aircraft shoots radio waves from the ground radar. For this communication, not only the radar on the ground but also the aircraft must be equipped with the equipment, and most civil aircraft are equipped with SSR equipment.

Mode-S communication 230 is a communication method in which secondary surveillance radars additionally attach and exchange information other than control when the secondary surveillance radar exchanges information for the aircraft and the surveillance system.

Multilaterlation (MLAT) 240 may also be understood as a non-rotating interrogator, also known as hyperbolic function positioning. By applying the TDOA of three or more receivers to calculate the position of the target, the aircraft does not require any additional equipment and is less expensive than conventional radars. Easy to maintain because it does not have

The data measured by these various sources can be understood as the radar data 101 or the next generation monitoring sensor data 103 of FIG. 1, and transmitted to the monitoring data processor 130 through the communication interface 110. do.

3 illustrates an example representation of a 4D flight trajectory prediction environment and its prediction result according to an embodiment of the present invention.

4D flight trajectory calculation is not only to calculate the position of the aircraft in aircraft control, but also to predict the exact departure and arrival time by calculating the prediction time and the required time, which is an essential element in the next generation control system. As shown in the figure, Figure 1 shows the implementation of 4D Trajectory in a foreign advanced system. As shown in the figure, time information for each point can be displayed on the route, so accurate time prediction is possible.

The following information is needed to calculate the 4D trajectory of an aircraft.

Route Information

-Performance information of each aircraft (speed, weight, aerodynamics, ascent rate, descent rate, etc.)

-Aviation Communication Equipment

Runway Information

Departure / Arrival Procedures (SID / STAR)

-Location information (GPS, ADS-B, radar information, etc.)

-Environment information (wind speed, wind direction, temperature, humidity, altitude, etc.)

4D flight trajectory prediction is the prediction of latitude, longitude, altitude, and visual values of the future trajectory of the aircraft using this information.

The content of performing the 4D flight trajectory prediction in the 4D flight trajectory prediction environment 410 as described above is shown in the orbit prediction manifestation result 420. It can be seen that the aircraft position is predicted for each time zone and represented on the track.

4 is a conceptual diagram illustrating a process of performing event warning processing by the monitoring data processing unit 130 of the information processing system according to an embodiment of the present invention.

Surveillance data processing unit 130 combines the flight data provided by the flight data processing unit 140, such as flight plan or route, information of the aircraft itself (weight, performance, occupants, etc.) and environmental information, such as 4D between different planes Compare flight trajectories. In addition, the information is comprehensively analyzed and filtered, the actual risk situation is analyzed, and then external STC (Short-term Collision Warning) and MTCA (Medium- Collision Warning) are simultaneously provided.

Steps for issuing short-term crash warnings and medium-term crash warnings by distance are provided in the conceptual diagram 410, and an exemplary representation 420 of an information presentation for alarm using three-dimensional data such as APM / MSAW is shown.

5 illustrates an exemplary airplane departure / arrival management manifest 510 by the flight data processor 140 in accordance with one embodiment of the present invention.

When the flight schedule or interworking information with the airport terminal is received by the flight data processing unit 140, these data are processed by the flight data processing unit 140, and the departure management display (Arrival Management) and arrival management display (Departure) according to the desired time. Management is provided.

As this information is integrated into the aircraft control system, it is expected to increase the efficiency and accuracy and convenience of air control.

6 illustrates a cloud photograph 610 or a weather radar sensing data 620 linked to a control display screen according to an embodiment of the present invention.

According to an embodiment of the present invention, the cloud photograph 610 or the weather radar sensing data 620 is directly linked to the control screen.

Therefore, cloud photos and radar sensing data such as cloud position, cloud movement speed, cloud size and thickness, and water vapor content are directly displayed on the tariff screen on the flight trajectory or the map of the flight information.

Image processing in this process can be performed by multi-layered integrated rendering, which is very effective and intuitive for the controller to induce the pilot to fly a lot of cloudy areas.

Conventionally, it was possible to check only the echo of the weather radar, but according to the present embodiment, since the weather radar and satellite radar data are interlocked with the current AMOS data, it is possible to provide a separate warning display for the weather worsening area so that the safe operation is possible. It may be induced.

7 illustrates an exemplary aspect 710 in which PBN navigation capable flight manifestations are performed in accordance with one embodiment of the present invention.

Performance Based Navigation (PBN) navigational display shows when the aircraft is in operation and when it is in the ground, and in this process, Performance Based Navigation (PBN) information marked with a dotted line is displayed.

According to one embodiment of the present invention, the following information exchange is possible through FIS-B (Next Generation Flight Information Broadcasting Service) in CPDLC (pilot-controller data communication).

METAR (on-time flight status)

-TAF (Airfield Forecast)

SIGMNETs

-PIREP (pilot weather report)

-Delivery of weather information and various flight information such as AWW

FIG. 8 is a conceptual diagram 810 and 820 for explaining a process and a result of applying an interactive multiple model (IMM) filter by a surveillance data processor according to an exemplary embodiment of the present invention.

According to an embodiment of the present invention, the surveillance data processing unit performs the data processing by applying an interactive multiple model (IMM) filter.

Existing systems are not optimized for various flight modes using a single Kalman filter, but according to an embodiment of the present invention, multiple models (IMM, Interacting Multiple Model) applying various flight modes (Uniform Motion, Uniform Speed Change, Standard Turn) Filters can be used to improve tracking accuracy in many flight modes.

Advantages of using this IMM filter are as follows.

-The theoretically optimal multi radar tracking method

-Improved system track accuracy by using multiple radar

Improved tracking performance for maneuvering tracks (short plot interval)

FIG. 9 is a block diagram 910 for describing contents for improving track accuracy by multi-radar tracking according to an embodiment of the present invention.

In the conventional system, a mosaic track selection and track averaging method are used. However, according to an embodiment of the present invention, after converting data of all input sensors to a single coordinate system, It uses True Multi-Radar Tracking method, which is a method of processing track using multi-model filter of, and shows optimal multi-radar tracking performance.

10 is a conceptual diagram 1000 illustrating an application example of a track tracking technique according to an embodiment of the present invention.

In a conventional system, a two-dimensional tracking method based on X-Y coordinates using stereographic projection has a disadvantage in that the track accuracy decreases as it moves away from the center of the system.

However, according to one embodiment of the present invention, according to the track processing on the basis of the three-dimensional coordinate system from the center of the earth, provides accurate track data regardless of the system center.

11 is an exemplary graph 1110 and 1120 for explaining the results of achieving a prediction accuracy improvement by using a BADA TEM according to an embodiment of the present invention.

According to one embodiment of the present invention in the processing of surveillance data and flight data processing using the TEM (Total Energy Model) to consider the aircraft as a single point having kinetic energy and potential energy, so point-to-point distance calculation, aircraft position prediction The back becomes easier.

Further, the use of a Base of Aircraft Data (BADA) TEM improves prediction accuracy, and TEM accuracy is again improved based on an enhanced aircraft performance profile.

In addition, Wake Turbulence Category segmentation and TEM application data can be optimized.

12 is a diagram illustrating a process of performing aircraft position prediction by interpolation or extrapolation according to an embodiment of the present invention.

In this embodiment, the accuracy of aircraft position prediction using interpolation and extrapolation is improved in calculating 4D flight trajectories.

In the case of using interpolation, as shown in the graph 1210, a 4D flight trajectory prediction result of a continuous line between measurement results is provided.

In the case of using extrapolation, as shown in the graph 1220, the aircraft is measured after 10 seconds / 20 seconds / 30 seconds based on the current aircraft operating conditions (aircraft kinetic energy, flight plan) using the presently measured results. Position prediction is possible. These predictions improve the accuracy of 4D flight trajectory calculations and aid in emergency detection and event filtering.

13 is a block diagram 1300 of a flight plan management table by a flight data processor according to an exemplary embodiment of the present invention.

In this way, the FPL table can be configured to handle up to 5000 FPLs and 25,000 RPLs simultaneously.

And by applying Adaptation value and processing more flight plans than existing system, the efficiency of air traffic information processing is greatly improved.

14 is a conceptual diagram 1400 for explaining a flight plan state management timer by the flight data processing unit according to an embodiment of the present invention.

It is possible to improve the accuracy of flight plan status management by applying three timers simultaneously in the timer configuration, and check the flight plan every minute by status, and display the processed flight plan as a flag, so the information is almost 100% accurate. Processing and provision are possible.

15 illustrates an example of a DB table structure for managing SSR codes according to an embodiment of the present invention.

In the DB table structure (1510 and 1520) for SSR code management, the SSR code duplication minimization algorithm is applied to recover the SSR code at the time of Arrival / Terminated, not Deleted, and increase the code turnover rate. By entering the allocated time as the d_date field, it is possible to find and reassign the oldest of the d_date field among the codes of the corresponding range when a duplicate situation occurs.

In addition, the SSR code assignment accuracy is improved, it can be seen that it is possible to analyze the flight_route field value and to accurately assign to the SSR code belonging to the corresponding category.

16 is a view illustrating event processing performed in an external system monitoring and control system according to an embodiment of the present invention.

In the conventional air traffic control system, it is impossible to display only the entire event in real time, so that proper visual arrangement is impossible, but according to an embodiment of the present invention, the entire event can be displayed in real time while various search conditions (Event type, Severity) Real-time events that meet the criteria, such as Event Source, and Message) can be selectively displayed. Also, the event can be searched and saved, and additional work of searching for and saving the events that have occurred with various search conditions in Excel file format is also possible. .

Furthermore, in the conventional system, there was no separate display function for abnormal occurrence nodes and subsystems, but according to an embodiment of the present invention, a separate display window for Degraded / Down state nodes may be provided, and a separate display window for Unmanageable state nodes may be provided. In addition, it is possible to provide a separate display window for the Unknown status node. In this process, the subsystem status box can be displayed in the top-level window.

17 is an exemplary screen of a conventional air control display screen shown in order to compare the air control system according to an embodiment of the present invention with the conventional control display screen.

According to the air traffic control information processing system according to an embodiment of the present invention, it is possible to improve the Map Editor function, improve the Adaptation management function, strengthen the control statistics function, and enhance the statistics management function and the training statistics function in the existing software maintenance system.

In the related art, a simple manifestation data is disclosed as illustrated in FIG. 17, and an operator manually creates an entire Map element, but according to an embodiment of the present invention, the Map Editor function can be improved to automatically use navigation data stored in an Adaptation Database. Map file can be created, and map creation tool is provided to create additional maps (Polygon, Polyline, Circle, Arc, etc.) to provide additional map creation functions for the operator, and user defined layer definition is possible to meet user needs. Accordingly, various Default Map Layers can be integrated and reconfigured, and by creating a symbol editor, graphic file editing in XPM format is possible.

In addition, as described above through other drawings, through the improvement of the adaptation management function, the data input / retrieval in a single screen structure in a conventional system is performed in the embodiments of the present invention without directly importing the Excel file to CSV or Text format conversion. By providing MDI Interface that directly imports, it is easy to refer to various kinds of data by providing multiple data (MDI) window. The Grid View provides the entire Adaptation Data in the Row format, and when necessary, it is possible to switch between vertical / horizontal screens and a data search function is provided to provide various search conditions according to the Adaptation Data type. Furthermore, it can be linked with the Subversion version management tool through the configuration management tool to automatically manage the version when creating the adaptation data.

Furthermore, according to the embodiments of the present invention, as described above, the statistics control function is enhanced in the existing software maintenance system. For example, it is possible to calculate statistics and reports for the control analysis, and provide various statistics such as air traffic report, traffic volume by route section, and working hour / working seat statistics.

In addition, the training statistics function is strengthened, it is possible to strengthen the individual capacity by systematically implementing the controller education management and evaluation system, and provide various statistics (training time, training content, evaluator, repetitive education, control error, etc.) It is also possible to continuously add functions and improve performance for user convenience.

18 is an exemplary graph showing the result of improved accuracy of the multi-radar track processing in accordance with one embodiment of the present invention.

It can be confirmed that the reference trajectory and the system track (SDP) according to the present invention almost coincide with the accuracy of the multi-radar track processing.

19 is an exemplary graph comparing an error between actual data and a trajectory modeling result value according to an embodiment of the present invention.

It can be seen that there is almost no error between the actual data and the trajectory modeling result according to the present invention.

Methods according to an embodiment of the present invention may be implemented in the form of program instructions that can be executed by various computer means and recorded in a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. In addition, the above-described file system can be recorded in a computer-readable recording medium.

As described above, the present invention has been described by way of limited embodiments and drawings, but the present invention is not limited to the above embodiments, and those skilled in the art to which the present invention pertains various modifications and variations from such descriptions. This is possible.

Therefore, the scope of the present invention should not be limited to the described embodiments, but should be determined by the equivalents of the claims, as well as the claims.

Claims (10)

delete delete delete Receive Primary Surveillance Radar (PSR) sensing data, Secondary Surveillance Radar (SSR) mode-S sensing data, Automatic Dependent Surveillance-Broadcast (ADS-B) sensing data, and MALT (Multilateration) data to receive data processing Monitoring data processing unit to perform; And
Flight data processing unit for receiving aircraft flight data (Flight Data) reflected in the data processing
Lt; / RTI >
The flight data processing unit is an air traffic control information processing system to improve the TEM (Total Energy Model) in performing the data processing reflected in the data processing. Receive Primary Surveillance Radar (PSR) sensing data, Secondary Surveillance Radar (SSR) mode-S sensing data, Automatic Dependent Surveillance-Broadcast (ADS-B) sensing data, and MALT (Multilateration) data to receive data processing Monitoring data processing unit to perform; And
Flight data processing unit for receiving aircraft flight data (Flight Data) reflected in the data processing
Lt; / RTI >
The flight data processing unit is an air traffic control information processing system using the Vincenty Formular Algorithm to improve the accuracy of calculating the distance between points reflected in the data processing. Receive Primary Surveillance Radar (PSR) sensing data, Secondary Surveillance Radar (SSR) mode-S sensing data, Automatic Dependent Surveillance-Broadcast (ADS-B) sensing data, and MALT (Multilateration) data to receive data processing Monitoring data processing unit to perform;
Flight data processing unit for receiving aircraft flight data (Flight Data) to reflect the data processing; And
CWP which receives and reflects at least one of weather radar measurement data or cloud photography data in the data processing
Including, air control information processing system. The method according to claim 6,
Presenting system (CWP) that makes it easy for the controller to synthesize or overlay at least one of weather radar measurement data or cloud photography data with control screen data.
Air control information processing system further comprising. Receive Primary Surveillance Radar (PSR) sensing data, Secondary Surveillance Radar (SSR) mode-S sensing data, Automatic Dependent Surveillance-Broadcast (ADS-B) sensing data, and MALT (Multilateration) data to receive data processing Monitoring data processing unit to perform;
Flight data processing unit for receiving aircraft flight data (Flight Data) to reflect the data processing; And
Emergency conversion processing unit for filtering the emergency event in real time from the data processing result for the location of the aircraft to the system supervisory control system which is a sub-system of the air traffic control system
Air control information processing system comprising a. Receive Primary Surveillance Radar (PSR) sensing data, Secondary Surveillance Radar (SSR) mode-S sensing data, Automatic Dependent Surveillance-Broadcast (ADS-B) sensing data, and MALT (Multilateration) data to receive data processing Monitoring data processing unit to perform; And
Flight data processing unit for receiving aircraft flight data (Flight Data) reflected in the data processing
Lt; / RTI >
And the monitoring data processing unit transmits the result of the data processing to a software maintenance system which is a sub-system of the air control system so that automatic map editing is performed. delete

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