JP2023500998A - Method and system for real-time monitoring of Mode S DAPs data - Google Patents

Abstract

DAPs for obtaining real-time data from air traffic control ground monitoring equipment and from the real-time data for characterizing target flight path information for the target aircraft and for characterizing information originating from the target aircraft's onboard equipment. extracting data (101); generating target flight path information based on the target information data; and performing a plurality of verifications preset on the DAPs data based on the target track information (102). and, after the DAPs data has passed multiple verifications, sending the target information data and the DAPs data to the air traffic control automation system so that the target aircraft is controlled based on the target motion state displayed by the system. (103), a method and system for real-time monitoring of Mode S DAPs data, which can improve safety of control to the target aircraft.

Description

The present invention relates to the field of civil aviation air traffic control, and more particularly to a method and system for real-time monitoring of Mode S DAPs data.

Mode S is a technology with selective interrogation, where each transponder has a 24-bit address code and ground equipment can selectively interrogate specific transponders. Mode S also has a bi-directional data link that can be used for ground air traffic control (ie, air traffic control) communication. Mode S DAPs (Downlinked Aircraft parameters) data originate from airborne equipment and are responses to specific queries from ground equipment. Applications of DAPs data are divided into Basic Surveillance ELS and Extended Surveillance EHS and have been identified by the International Civil Aviation Organization as special surveillance schemes in the Aviation Surveillance Manual (Doc 9924), along with independent uncoordinated, independent coordinated and related coordinated surveillance systems. It is said that it constitutes four classifications of

According to this technology, the ground control center mainly includes data link capability of onboard equipment, flight status, aircraft identification information, ACAS resolution recommendation (RA), altitude, vertical selection intention, course, rotation angle, speed and other information. Abundant on-board operation information can be obtained. This information contributes to the controller's more intuitive understanding of the aircraft's motion state and surrounding conditions, can reduce the controller's communication with the pilot, and allows the controller to understand the pilot's operations and commands. It helps to proactively spot potential conflicts due to mismatches in This will ensure the safety of air traffic, improve the efficiency of air traffic management, and contribute to improving the on-time operation rate of air flights.

The Civil Aviation Authority of China has always been actively promoting the application of DAPs data. The use of DAPs data was initially limited to data items in ELS, but in August 2013, for the first time, Chengdu With the added use of highly selective data items in area control automation systems, EHS-level DAPs data applications have begun. By the end of 2018, 74 sets of Mode S secondary surveillance radars have been deployed in China, which are capable of acquiring DAPs data. can be obtained.

At present, China has already carried out research, testing and other work on the application of DAPs data, and based on this, has formulated requirements for the application of DAPs data in air traffic control automation systems. It has been discovered that there are problems with DAPs data, even during long-term applications, which seriously affect DAPs data applications. Currently, there are two main problems that affect the application of DAPs data.
(1) Inability to ensure the availability of data In 2012, at the 12th meeting of the Aviation Surveillance Group of the International Civil Aviation Organization, DAPs data should be applied more widely. He pointed out that the lack of availability is a factor that makes its application difficult.
To ensure the availability of DAPs data, air traffic control departments currently carry out test work whenever DAPs data are used. However, these tests routinely test ground equipment interrogating, receiving and processing DAPs data, primarily by test transponders. Only the normality of DAP data processing by ground equipment can be ensured, and problematic DAP data originating from airborne equipment cannot be detected, so that these problematic data are sent to the air traffic control system. If introduced, it will affect the judgment and command of airspace targets by air traffic controllers.
(2) Non-real-time data monitoring DAPs data reflect the real-time operating conditions of airplanes and are useful for air traffic controllers to grasp air traffic conditions in real time. Currently, there is still no real-time monitoring system for DAPs data, simply recording DAPs data and analyzing specific data only when needed. This method can only identify the causes leading to problems and clarify related responsibilities, but cannot prevent problems from occurring at the root.

In view of this, the present invention provides a method and system for real-time monitoring of Mode S DAPs data to achieve control safety to target aircraft. In one aspect, the present invention obtains real-time data from air traffic control ground monitoring equipment, and from said real-time data, target information data for characterizing target flight path information for a target aircraft, and target information data originating from onboard equipment of the target aircraft. extracting DAPs data for characterizing the obtained information; generating target flight path information based on the target information data; and a plurality of presets in the DAPs data based on the target flight path information performing verification, and after the DAPs data has passed the plurality of verifications, transmitting the target information data and the DAPs data to an air traffic control automation system, based on the target motion state displayed by the air traffic control automation system and causing the target aircraft to be controlled by the DAPs data in Mode S.

Further, the step of generating target flight path information based on the target information data includes, based on the target identification information in the target information data, for each existing target flight path, a flight path that matches the target identification information. If there is no flight route matching the target identification information, generating target flight route information based on the target information data, and flying matching the target route identification information updating the matching flight route using the target information data if the route exists, and using the updated flight route as the target flight route information.

Further, the step of performing a plurality of verifications preset in the DAPs data based on the target flight path information includes: and GICB capability dynamic placement register data, if the first type, performing placement consistency verification on the DAPs data by the target flight path information and a preset placement verification process .

Further, the step of performing a plurality of preset verifications on the DAPs data based on the target flight path information may include: or if it is a second type including one, it further comprises performing plausibility verification on the DAPs data according to the target flight path information and a preset plausibility verification process.

Further, in the step of performing a plurality of verifications preset in the DAPs data based on the target flight path information, the DAPs data includes data in a set altitude selection register, data in a flight path and direction change (steering) register, and If it is the third type including any one of direction and speed register data, it further includes performing accuracy verification on the DAPs data according to the target flight path information and a preset accuracy verification process.

Furthermore, the method for real-time monitoring of DAPs data in Mode S includes monitoring aircraft anomalies based on the target flight path information, and activating a preset anomaly handling process when an aircraft anomaly is confirmed. further comprising:

In another aspect, real-time data is obtained from air traffic control ground monitoring equipment, and from said real-time data target information data for characterizing target flight path information for the target aircraft and information originating from onboard equipment of the target aircraft. and a data receiving unit for transmitting said target information data and DAPs data, receiving said target information data and said DAPs data, and based on said target information data, a target flight path Generate information and perform a plurality of verifications preset for the DAPs data based on the target flight path information, and after the DAPs data passes the plurality of verifications, the target information data and the DAPs data a data monitoring unit for transmitting to an air traffic control automation system to cause said target aircraft to be controlled based on the target motion conditions indicated by said air traffic control automation system. System.

Further, the data monitoring unit checks whether there is a flight path matching the target identity in each existing target flight path based on the target identity in the target information data; If there is no flight route that matches the identification information, target flight route information is generated based on the target information data, and if there is a flight route that matches the target route identification information, the target information data is used. and update the matching flight route, and use the updated flight route as the target flight route information.

Further, the data monitoring unit is a first type, further comprising a deployment verification module for performing deployment consistency verification on the DAPs data according to target flight path information and a preset deployment verification process.

Further, the data monitoring unit, if the DAPs data is of a second type including any one of flight state data, aircraft identification register data and ACAS solution recommendation register data, target flight path information and A rationality verification module that performs rationality verification on the DAPs data by a preset rationality verification process, and the DAPs data is a set altitude selection register data, a flight path and direction change register data, and a direction and speed register If it is the third type including any one of the data, it further includes an accuracy verification module for performing accuracy verification on the DAPs data according to target flight path information and a preset accuracy verification process.

The method and system for real-time monitoring of Mode S DAPs data of the present invention monitors the Mode S DAPs data in real-time when the real-time data is received, and only after passing the monitoring verification is the mode S the controller has passed the verification. By helping control target aircraft based on Mode S DAPs data, real-time monitoring prior to control with Mode S DAPs data is achieved, problems are resolved from the source of the data, and problematic Mode S DAPs are identified. Since it is avoided to introduce the data into the air traffic control automation system and affect the control stage, it contributes to improving the safety of the control of the target aircraft by the air traffic controller.

In order to describe the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the drawings used in the embodiments. and those skilled in the art can derive further drawings based on these drawings without creative effort.
Fig. 4 is a flowchart of a method for real-time monitoring of Mode S DAPs data according to a first exemplary embodiment of the present invention; FIG. 5 is a flowchart of a method for real-time monitoring of Mode S DAPs data according to a second exemplary embodiment of the present invention; FIG. FIG. 11 is a flow chart of GICB capability configuration register consistency verification in a method for real-time monitoring of Mode S DAPs data according to a third exemplary embodiment of the present invention; FIG. FIG. 13 is a flow chart of rationality verification of aircraft state FS in the real-time monitoring method of Mode S DAPs data according to the fourth exemplary embodiment of the present invention; FIG. FIG. 11 is a flow chart of accuracy verification of flight path and turning registers in a method for real-time monitoring of DAPs data in Mode S according to a fifth exemplary embodiment of the present invention; FIG. FIG. 11 is a configuration block diagram of a real-time monitoring system for Mode S DAPs data according to an exemplary sixth embodiment of the present invention; FIG. 11 is a configuration block diagram of a real-time monitoring system for Mode S DAPs data according to an exemplary seventh embodiment of the present invention;

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

It should be noted that, unless mutually contradictory, the following examples and features in the examples can be combined with each other, and based on the examples in the present disclosure, all that a person skilled in the art could obtain without creative labor Any other embodiment of is within the scope of the present disclosure.

In the following, each aspect of the embodiments in the attached claims will be described. Of course, the aspects described herein can be embodied in a wide variety of forms, and any specific structure and/or function described herein is intended to be illustrative. Not too much. Based on the present disclosure, one of ordinary skill in the art will appreciate that one aspect described herein can be practiced independently of any other aspect, and that two or more of these aspects can be combined in various forms. It should be understood that it is possible to combine For example, an apparatus may be implemented and/or a method practiced in any number of aspects described herein. It should be noted that the facility may be implemented and/or the method practiced with other structures and/or functionality other than one or more of the aspects described herein.

As shown in FIG. 1, a flow chart of a method for real-time monitoring of Mode S DAPs data according to a first exemplary embodiment of the present invention is as follows:
DAPs for obtaining real-time data from air traffic control ground monitoring equipment, and from said real-time data target information data for characterizing target flight path information for the target aircraft and information originating from onboard equipment for the target aircraft. a step 101 of extracting data;
step 102 of generating target flight path information based on the target information data and performing a plurality of verifications preset in the DAPs data based on the target flight path information;
After the DAPs data passes the plurality of verifications, the target information data and the DAPs data are sent to the air traffic control automation system so that the target aircraft is controlled based on the target motion state displayed by the system. a step 103 to
including.

The present embodiment monitors the Mode S DAPs data in real time when real-time data is received, and only after the monitoring verification passes, the controller controls the target aircraft based on the verified Mode S DAPs data. Real-time monitoring prior to control with Mode S DAPs data is achieved by helping to resolve issues from the source of the data, and introducing problematic Mode S DAPs data into air traffic control automation systems. Since it is avoided to affect the control stage, it contributes to improving the safety of the control of the target aircraft by the air traffic controller.

FIG. 2 provides a preferred embodiment of a real-time monitoring method for Mode S DAPs data of the present invention, and another real-time monitoring method for Mode S DAPs data according to an embodiment of the present invention includes the following steps.

Step 201, a data receiver receives real-time data.

Step 202, the data receiver extracts target information data from the real-time data respectively and transmits the target information data to the real-time monitoring software.

Step 203, the data receiver extracts the DAPs data respectively from the real-time data and transmits the DAPs data to the real-time monitoring software.

Step 204, after receiving the target information data, the real-time monitoring software performs target flight path management on the target information to obtain flight path information. in particular,
Based on the target identification information in the target information data, checking whether there is a flight path matching the target identification information in each existing target flight path;
If there is no flight route that matches the target identification information, target flight route information is generated based on the target information data, and if there is a flight route that matches the target route identification information, the target information updating the matching flight path using the data and using the updated flight path as target flight path information;
may include

Step 205, the real-time monitoring software verifies the DAPs data in real time and filters out the DAPs data that have not passed the verification, and the detailed verification methods may be referred to FIGS. 3 to 5. When operating specifically,
Validating it in the validation process according to different DAPs data types ensures the availability of all types of DAPs data. Synchronous verification of different types of DAPs data by different verification processes can speed up verification of different types of DAPs data, improve system throughput, and ensure real-time verification of DAPs data. .

The first type of DAPs data information, such as transponder capability CA data, data link capability register 10 ₁₆ data, GICB capability static configuration registers 18 ₁₆ to 1C ₁₆ and GICB capability dynamic configuration register 17 ₁₆ data, is pre-configured. Validated by the configured deployment validation process. These information mainly reflect the transponder's related capabilities and configuration status, and it is determined whether or not it matches the transmitted configuration information according to the actual status of the target flight path information. Different information has different specific contents, custom analysis and verification can be done according to the specific situation of each information, and the logic of judgment is basically similar. As shown in FIG. 3, a specific flow of placement consistency verification will be described using the _GICB capability dynamic placement register 1016 as an example.

A second type of DAPs data information, such as Flight State FS data, Airplane Identification Register 20 ₁₆ data, ACAS Resolution Recommendation (RA) Register 30 ₁₆ data, is verified by a pre-established plausibility verification process. . The target flight path information is used to determine if the data received is reasonable in conjunction with the associated data definition. Different information has different specific contents, custom analysis and verification can be done according to the specific situation of each information, and the logic of judgment is basically similar. FIG. 4 explains in detail a specific flow of data rationality verification, taking an airplane state FS as an example.

A third type of DAPs data, such as set altitude selection register 40 ₁₆ data, flight path and direction change register 50 ₁₆ data, direction and speed register 60 ₁₆ data, is verified by a preset accuracy verification process. be. Combined with the target-related flight path information, calculate thresholds for related data such as altitude, speed, course, and rotation angle of the aircraft, and based on the thresholds and the current target motion situation, motion attitude-related information contained in specific registers to determine the accuracy of Different information has different specific contents, custom analysis and verification can be done according to the specific situation of each information, and the logic of judgment is basically similar. As shown in FIG. ₅ , a specific flow of data accuracy verification will be described using the flight path and direction conversion register 5016 as an example.

For DAPs data verified by the accuracy verification process, a register contains a lot of motion state information, all information must be verified for accuracy, and there is only one data that has not passed accuracy verification. If there is even one, it is believed that the entire data in the register may be problematic data. During validation, specific data items are determined by similar logic. The flight path data is mainly used to calculate the threshold value and the calculated value of the data item, and these two values are used to determine whether the message value is accurate. Calculation of the related numerical value uses the horizontal position and altitude after tracking filtering in the target flight path information, and has a very high degree of reliability. Secured. Calculation of the flight path calculation value of the course angle and the threshold value are shown below, and the calculation method differs depending on the data item.

Calculation of flight path angle information based on flight path data:

Step 206, determine whether the verification is passed.

Step 207, after the verification is passed, update the flight path information with the verified DAPs data, combine with the target information data, and encode according to a predetermined format.

Step 208, send the encoded information to the automated system so that the entire process is fast and accurate, ensuring real-time availability of the DAPs data.

Step 209, monitoring performance feedback by external equipment may be collected periodically.

Step 210, based on monitoring performance feedback, self-adaptively adjust the monitoring logic to further improve real-time monitoring capability to DAPs data.

For example, after receiving feedback with a low anomaly detection rate for ground air conditions, first check whether an anomaly that the DAPs data indicates that the aircraft is actually on the ground is actually in the air, or whether the DAPs data determines whether an anomaly has been detected that indicates that the aircraft is actually on the ground. In the former case, the ground target speed and/or altitude decision threshold should be decreased, and in the latter case the ground target speed and/or altitude decision threshold should be increased.

In this embodiment, by monitoring in real time the target information data in the real-time data transmitted from the air traffic control ground monitoring equipment to the air traffic control automation system, and the DAPs data in the real-time data, by the processing of the air traffic control ground monitoring equipment Not only problematic data, but also problematic data originating from on-board equipment can be found, DAPs data can be monitored in real time, and problematic DAPs data can be used for air traffic control automation systems. Shielding adds a further firewall for DAPs data between air traffic control ground monitoring equipment and automation systems, ensuring the real-time and availability of DAPs data entering air traffic control automation systems. to avoid air traffic control problems caused by fundamentally problematic data, promote the development and promotion of new technologies of the DAPs, improve the safety and efficiency of air traffic control, and challenge the rapid development of China's aviation industry. help to respond to

In this embodiment, a real-time monitoring system for Mode S DAPs data is interpreted and described as an example including a data receiver and monitoring software. The data receiver is based on CPCI architecture, and the monitoring software may be installed on the data receiver or on another computer. When installed on another computer, it can receive data transmitted from the data receiver over the network.

FIG. 6 is a configuration block diagram of a real-time monitoring system for Mode S DAPs data according to a sixth exemplary embodiment of the present invention, wherein the real-time monitoring system for Mode S DAPs data includes:

DAPs for obtaining real-time data from air traffic control ground monitoring equipment, and from said real-time data target information data for characterizing target flight path information for the target aircraft and information originating from onboard equipment for the target aircraft. a data receiving unit 601 for extracting data and transmitting said target information data and DAPs data; receiving said target information data and DAPs data and generating target flight path information based on said target information data; , performing a plurality of verifications preset for the DAPs data based on the target flight route information, and after the DAPs data has passed the plurality of verifications, the target information data and the DAPs data are processed by the air traffic control automation system and a data monitoring unit 602 to cause the target aircraft to be controlled based on the target motion conditions displayed by the system.

The present embodiment monitors the Mode S DAPs data in real time when real-time data is received, and only after the monitoring verification passes, the controller controls the target aircraft based on the verified Mode S DAPs data. Real-time monitoring prior to control with Mode S DAPs data is achieved by helping to resolve issues from the source of the data, and introducing problematic Mode S DAPs data into air traffic control automation systems. Since it is avoided to affect the control stage, it contributes to improving the safety of the control of the target aircraft by the air traffic controller.

FIG. 7 is a configuration block diagram of a real-time monitoring system for mode S DAPs data according to a seventh exemplary embodiment of the present invention, which is a preferred embodiment of the embodiment shown in FIG. , and the interpretations and explanations of FIGS. 1 to 6 can be applied to this embodiment. This Mode S DAPs data real-time monitoring system mainly describes in detail the data monitoring unit 602, specifically, the data monitoring unit 602 includes a flight path generation module 701, an analysis verification module 702, an information transmission module 703 and A self-adaptive monitoring logic decision module 704 may be included.

The flight path generation module 701 searches existing flight paths according to the target identification information in the target information data, performs matching between the target and the flight path, and determines whether there is a flight path matching the target identification information. used to determine If the matching fails, establish a new flight path and store relevant information, including motion state. If the matching is successful, the flight route to be matched is updated using the target information data, and the updated flight route is used as the target flight route information. Specifically, when the matching is successful, in order to judge the rationality of the target information, the relevant information is used to track and filter the movement state such as the target horizontal position and altitude, and the flight path information is updated. may Tracking filtering for target horizontal position and altitude is based on the basic principle of α-β algorithm. Detection and determination can be made. Altitude data has two units of accuracy, 100 feet and 25 feet, so altitudes with different accuracies have different specific parameters and flows.

The analysis verification module 702 is used to perform analysis verification on the DAPs data, and first decodes all DAPs information according to its encoding format to obtain specific information contained therein. After that, analysis verification is performed. Specifically, the analysis verification module 702
If the DAPs data is of a first type including any one of transponder capability data, data link capability register data, GICB capability static configuration register data and GICB capability dynamic configuration register data, target flight a placement verification module 702a for performing placement consistency verification on the DAPs data according to route information and a preset placement verification process;
If the DAPs data is of a second type including any one of flight state data, aircraft identification register data and ACAS resolution recommendation register data, target flight path information and a pre-established rationality verification process A rationality verification module 702b for performing rationality verification on the DAPs data by
If the DAPs data is of the third type including any one of set altitude selection register data, flight path and direction change register data, and direction and speed register data, target flight path information and preset an accuracy verification module 702c for performing accuracy verification on the DAPs data by an accuracy verification process;
may include

The information transmission module 703 retains the DAPs data that has passed the verification based on the verification result from the analysis verification module 702, and uses it to update the flight route management information. In addition, together with the corresponding target information given by the flight path generation module, it is processed in a predetermined format and sent to the air traffic control automation system.

The self-adaptive monitoring logic determination module 704 determines whether and how to adjust the monitoring logic according to the situation fed back from the external equipment, and sends the corresponding adjustment instruction to the analysis and verification module. 702 to adjust the monitoring logic.

Taking the example of receiving CAT48 data emitted from a Mode S secondary radar, the operational flow of the real-time monitoring system for Mode S DAPs data is described:

Step 1: The data receiver receives CAT48 data.

Step 2: Decode target information data from CAT48 data and transmit to real-time monitoring software, each target information must contain aircraft address code information.

Step 3: Decode DAPs data from CAT48 data and send to real-time monitoring software, each DAPs data must contain the corresponding aircraft address code record.

Step 4: After receiving the target information data, the real-time monitoring software performs flight path matching for each target (determined by the aircraft address code), and if the matching is not successful, executes step 5, and the matching is successful. Then step 6 is executed.

Step 5: Consider the current target as one new target and establish a new target flight path.

Step 6: Based on the specific content of the current target information, the corresponding position, altitude, speed, flight path, direction change and other motion state related information in the flight path information are tracked and filtered for matching flight Update route information.

Step 7: After receiving the DAPs data, the real-time monitoring software determines the type for each DAPs data. If information such as Transponder Capability CA, Data Link Capability Register 10 ₁₆ , GICB Capability Static Configuration Registers 18 ₁₆ -1C ₁₆ and GICB Capability Dynamic Configuration Register 17 ₁₆ , then execute step 8, Aircraft Status FS, Aircraft If information such as identification register 20 ₁₆ , ACAS Resolution Advisory (RA) register 30 ₁₆ , step 9 is executed and altitude information, set altitude selection register 40 ₁₆ , flight path and turning register 50 ₁₆ , direction and If it is information such as speed register 60 ₁₆ , then step 10 is executed.

Step 8: Decode the DAPs data and use the recorded aircraft address code to check the type of DAPs information emitted by the target in the flight path information to see if it matches the configuration indicated in the DAPs data. and pass verification if they match, and do not pass verification if they do not match.

Step 9: Decrypt the DAPs data, use the recorded aircraft address code to check the flight path related information, and determine whether the DAPs data is reasonable according to the definition of the relevant data. and pass verification, and not rational and pass verification.

Step 10: Decode the DAPs data, use the recorded aircraft address code to check the flight-path-related information, calculate the corresponding motion information judgment threshold, and combine with the motion state information in the flight-path information to ensure that the DAPs data is accurate. If it is correct, it passes the verification, and if it is not correct, it does not pass the verification.

Step 11: Determine whether each DAPs data passes the verification, and if the verification passes, perform steps 12 and 13;

Step 12: Update the flight path information according to the type of DAPs data.

Step 13: Match with corresponding target information by plane address code.

Step 14: Encode target information by CAT48 format and send to automated system.

In actual operation, for target throughput, the system can monitor at least 500 target DAPs data per second if the data is uniformly received. For system delay, the time from receipt of data by the system to transmission to the automated system after monitoring of the DAPs data therein is completed does not exceed 0.5 seconds. Regarding the probability of false detection, the probability that the system detects normal DAPs data as problematic DAPs data is less than 1%. Regarding the probability of false positives, the probability that the system did not detect problematic DAPs data is less than 0.1%. For mean time without failure, the system can operate for at least 20,000 hours without failure. Regarding the mean time to repair, when the indoor equipment fails in the system, the repair time is less than 0.5 hours, and when the outdoor equipment fails, the repair time is less than 2 hours.

The data monitoring unit of this embodiment includes four main functional modules: flight path management, analysis verification, information transmission module and self-adaptive monitoring logic judgment module. The analysis verification module also includes three modules: placement verification, rationality verification and correctness verification. A multi-thread mode can be adopted, and each module only interacts with data, but does not affect each other in terms of operation, so real-time processing by the real-time monitoring software is ensured. Problematic data originating from airborne equipment and processed by ground equipment can be discovered simultaneously, improving the availability of DAPs data and allowing air traffic controllers to understand the aircraft operating conditions obtained by DAPs data. Reliability of aerial situational awareness is ensured. Operational loads and error judgments on controllers due to erroneous data from the root are avoided. The transmitted data is used as is, no dedicated test transponder is required, and the deployment work required for related tests is eliminated, saving time and cost.

Although specific embodiments of the present invention have been described above, the scope of the present invention is not limited thereto, and variations or replacements that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention are as follows: Both should be included in the scope of the present invention. Therefore, the scope of the present invention should be construed according to the claims.

Claims (3)

DAPs for obtaining real-time data from air traffic control ground monitoring equipment and from said real-time data target information data for characterizing target flight path information for the target aircraft and information originating from onboard equipment for the target aircraft. extracting data;
generating target flight path information based on the target information data, and performing a plurality of verifications preset in the DAPs data based on the target flight path information;
After the DAPs data passes the plurality of verifications, the target information data and the DAPs data are transmitted to an air traffic control automation system, and the target aircraft is determined based on the target motion state displayed by the air traffic control automation system. A method for real-time monitoring of Mode S DAPs data comprising:
generating target flight path information based on the target information data,
Based on the target identities in the target information data, examining each existing target flight path whether there is a flight path matching the target identities;
if there is no flight path matching the target identification information, generating target flight path information based on the target information data;
If there is a flight route that matches the target route identification information, updating the matching flight route using the target information data, and using the updated flight route as the target flight route information,
performing a plurality of verifications preset on the DAPs data based on the target flight path information, wherein the DAPs data includes transponder capability data, data link capability register data, GICB capability static allocation register data and GICB performing configuration consistency verification on the DAPs data according to the target flight path information and a preset configuration verification process if it is of the first type including any one of the data in the capability dynamic configuration register;
performing a plurality of verifications preset on the DAPs data based on the target flight path information, wherein the DAPs data is any one of flight state data, aircraft identification register data, and ACAS resolution recommendation register data; If it is the second type including one, performing rationality verification on the DAPs data by target flight path information and a preset rationality verification process, further comprising:
The step of performing a plurality of verifications preset on the DAPs data based on the target flight path information is performed such that the DAPs data includes data of a set altitude selection register, data of a flight path and direction change register, and direction and speed registers. If the third type includes any one of the data, the mode further includes performing accuracy verification on the DAPs data by target flight path information and a preset accuracy verification process. A method for real-time monitoring of S DAPs data. monitoring an aircraft for anomalies based on the target flight route information; activating a preset anomaly handling process when an aircraft anomaly is confirmed;
The method for real-time monitoring of Mode S DAPs data of claim 1, further comprising: DAPs for obtaining real-time data from air traffic control ground monitoring equipment and from said real-time data target information data for characterizing target flight path information for the target aircraft and information originating from onboard equipment for the target aircraft. a data receiving unit for extracting data and transmitting the target information data and DAPs data; receiving the target information data and DAPs data and generating target flight path information based on the target information data; and performing a plurality of verifications set in advance for the DAPs data based on the target flight route information, and after the DAPs data passes the plurality of verifications, the target information data and the DAPs data are transferred to the air traffic control automation. a data monitoring unit for transmitting to a system and causing said target aircraft to be controlled based on target motion conditions indicated by said air traffic control automation system. There is
The data monitoring unit, based on the target identification information in the target information data, examines whether there is a flight route matching the target identification information in each existing target flight route, and checks the target identification information. If there is no flight route that matches the target information data, target flight route information is generated based on the target information data, and if there is a flight route that matches the target route identification information, the target information data is used. a flight path generation module for updating the matching flight path and using the updated flight path as target flight path information;
The data monitoring unit is of a first type, wherein the DAPs data includes any one of transponder capability data, data link capability register data, GICB capability static configuration register data, and GICB capability dynamic configuration register data. , further comprising a deployment verification module for performing deployment consistency verification on the DAPs data according to the target flight path information and a preset deployment verification process,
the data monitoring unit, if the DAPs data is of a second type including any one of flight state data, aircraft identification register data and ACAS solution recommendation register data, target flight path information and preset a rationality verification module for performing rationality verification on the DAPs data by a rationality verification process described above; an accuracy verification module for performing accuracy verification on the DAPs data according to the target flight path information and a preset accuracy verification process if the third type includes any one of the data;
A real-time monitoring system for Mode S DAPs data, further comprising:

Images