Air-ground cooperative runway intrusion prevention early warning method based on 5G AeroMACS technology

Abstract

The invention discloses an air-ground cooperative runway intrusion prevention early warning method based on a 5G AeroMACS technology, and belongs to the technical field of airport management, and the method comprises the following steps: S1, obtaining data by a 5G AeroMACS ground station, S2, analyzing the data through a standard protocol, S3, extracting effective positioning data of an aircraft, a vehicle and a pedestrian, S4, fusing different data from the same space coordinate system, and S5, fusing different data from 5G AeroMACS airborne equipment. A 5G AeroMACS new technology of a novel airport aviation mobile communication system is introduced, the characteristic that the technology is adaptive to ground traffic communication in an airport protection area range is utilized, a 5G civil aviation private network is used, the safety, high efficiency and timeliness of data transmission and communication are ensured, and through the design of an airborne runway intrusion prevention system and the injection of runway intrusion logic rules, the security, high efficiency and high timeliness of data transmission and communication are ensured. Runway intrusion risk warning prompts are given to aircraft drivers and runway intrusion event decision-making persons in time, and a whole set of solutions are provided for the heavy and difficult problems of runway intrusion early warning facing the airborne end.

Description

Technical Field

[0001] The present invention relates to the technical field of airport management, and in particular to an air-ground collaborative runway intrusion prevention early warning method based on 5G AeroMACS technology. Background Art

[0002] Runway incursions refer to all incidents that occur on the runway and within the protected area for takeoff and landing at an airport, involving other aircraft, vehicles and pedestrians that affect the takeoff and landing of an aircraft. As airport traffic becomes increasingly busy, the number of aircraft arriving and departing at each airport is increasing, and the probability of runway incursions is also increasing. How to effectively prevent runway incursions has become the focus of civil aviation's attention on airport safety issues, and runway incursion warning is a key means of prevention, especially at large international aviation hub airports with multiple runways for simultaneous takeoff and landing.

[0003] Through investigation, it is found that the current runway intrusion prevention warning methods on the market have the following problems: First, most of the domestic runway intrusion prevention technologies rely on traditional video recognition technology, infrared technology, and millimeter wave radar technology, which often have problems such as low recognition rate, easy to be blocked, and poor environmental adaptability; Second, the traditional runway intrusion prevention system is built for the ground air traffic control perspective, that is, when a runway intrusion occurs, the controller obtains the warning information through the ground runway intrusion prevention system, and then informs the crew of the warning information through the very high frequency ground-to-air call, and finally the crew (aircraft pilot) makes the final decision (continue or interrupt takeoff, go-around). The information transmission chain of this method is too long and depends to a great extent on the correctness and timeliness of the controller's instructions. Any omissions in the ground air traffic control perspective, as well as special circumstances such as the occupation of the very high frequency channel, will undoubtedly increase the probability of a collision accident. It can be seen that in view of the problems existing in the current runway intrusion prevention warning methods, it is of great significance to study an air-ground collaborative runway intrusion prevention warning method and system based on 5G AeroMACS technology. Summary of the invention

[0004] The present invention aims to realize an air-ground coordinated anti-runway intrusion warning method based on 5G AeroMACS technology. The new 5G AeroMACS technology of the new airport aviation mobile communication system is introduced, and its ground traffic communication characteristics adapted to the airport protection area are utilized. The 5G civil aviation dedicated network is used to ensure the security, efficiency and timeliness of data transmission and communication. In addition, through the design of the airborne anti-runway intrusion system and the injection of runway intrusion logic rules, the runway intrusion risk warning prompts are given to aircraft pilots and runway intrusion event decision makers in a timely manner. A complete set of solutions is proposed for the key and difficult problems of runway intrusion warning facing the airborne end, which can effectively reduce the risks brought by information transmission and improve the safety of airport runway operation. =.

[0005] In order to achieve the above effects, the present invention provides the following technical solution: an air-ground collaborative anti-runway intrusion warning method based on 5G AeroMACS technology, comprising the following steps:

[0006] S1, 5G AeroMACS ground station acquires data.

[0007] S2. Parse data through standard protocols.

[0008] S3. Extract valid positioning data of aircraft, vehicles and pedestrians.

[0009] S4. Fusion of different data originates from the same spatial coordinate system.

[0010] S5, 5G AeroMACS airborne equipment.

[0011] S6. Aircraft positioning data, pilot takeoff aircraft operation data and landing aircraft VOR / MDE, GNSS data acquisition.

[0012] S7. Relative position between aircraft positioning and runway protection area.

[0013] S8. Based on the injected runway incursion logic rules, the surface surveillance target is compared with the aircraft position.

[0014] S9. Is there a runway intrusion target? If not, loop to step 7. If yes, proceed to the next step.

[0015] S10. If there is a runway intrusion target, alarm data is generated.

[0016] S11, alarm assists decision making and simultaneously obtains the judgment information of step nine.

[0017] Further, the following steps are included: according to the operating steps in S1, the data acquired by the 5G AeroMACS ground station includes SSR data, ADS-B data, MLAT data and other surveillance data.

[0018] Furthermore, the following steps are included: according to the operation steps in S2, when the standard protocol parses the data, it is necessary to extract all data containing positioning information, and eliminate abnormal data according to data deviation, and then use the extended Kalman filter and recurrent neural network model to fuse the data obtained by the 5G AeroMACS ground station.

[0019] Further, the method comprises the following steps: according to the operation steps in S5, the 5G AeroMACS airborne equipment operates to generate scene monitoring source data.

[0020] Further, the following steps are included: according to the operating steps in S7, the runway protection area includes an identification line, a runway intrusion refers to a situation in which any aircraft, vehicle or person at an airport mistakenly enters a ground protection area designated for aircraft landing and takeoff, the ground protection area includes the airport runway and the portion of the taxiway between the applicable runway holding position and the actual runway, the soil surface area within 75m on both sides of the runway centerline, the ILS sensitive area, the ILS critical area and the runway end safety area, and the ground protection area includes the runway, the runway holding position and the portion between the road holding position and the runway.

[0021] Further, the following steps are included: according to the operation steps in S6,

[0022] The pilot's takeoff aircraft operation data includes the aircraft takeoff push rod operation-engine parameter change data acquisition time A, setting the aircraft flying over the runway end identification line, cooperating with the airborne ADS-B aircraft positioning data, obtaining the time and position point B of the aircraft flying over the identification line at the end of the runway protection zone in the direction of the runway centerline extension line; for landing aircraft, the VOR / DME station should be cooperated to obtain the slant distance non-ground distance at the end of the runway, instrument landing system ILS information and aircraft altitude information, and obtaining the time and position point C of the aircraft flying over the MDA / H point before the MAPT point; setting the aircraft leaving the runway identification line, and obtaining the aircraft leaving the runway time and position point D through the intersection of the scene monitoring source positioning data and the separation line.

[0023] Further, the method includes the following steps: according to the operation steps in S8, the runway intrusion prevention logic rule, for a take-off aircraft, should start from the time A when the aircraft receives the take-off operation data, and identify and judge in real time whether there is any other object monitoring data in the runway protection zone between the front of the aircraft's own position and the position point B at the end of the runway, until the aircraft flies over the runway end position point B and the identification and judgment is terminated; if other object monitoring data is identified during the identification period, a runway intrusion warning signal is generated; for a landing aircraft, starting from the MDA / H point C before the aircraft flies over the MAPT point, real-time identification and judgement should be performed whether there is any other object monitoring data in the runway protection zone between the front of the aircraft's own position and the position point D for leaving the runway, until the aircraft leaves the runway, that is, the position point D is generated and the identification and judgment is terminated; if other object monitoring data is identified during the identification period, a runway intrusion warning signal is generated.

[0024] A storage medium, wherein the storage medium is a computer-readable storage medium, and an air-ground collaborative runway intrusion prevention warning program based on 5G AeroMACS technology is stored on the storage medium. The air-ground collaborative runway intrusion prevention warning program based on 5G AeroMACS technology can be executed by one or more processors to implement any of the steps of the air-ground collaborative runway intrusion prevention warning method based on 5G AeroMACS technology described above.

[0025] A runway intrusion prevention warning system, comprising:

[0026] The monitoring data source input module realizes airport surface monitoring source data through 5G AeroMACS technology.

[0027] Monitoring data preprocessing module, the airborne end completes relevant data cleaning and data fusion processing.

[0028] The airborne surface operation monitoring module comprehensively calculates the above data with the airborne aircraft's own positioning data, pilot operation data, and navigation facility location data, and monitors them in real time.

[0029] The runway intrusion warning module combines the runway intrusion logic rules to make real-time judgments and generates an alarm when a runway intrusion target is detected.

[0030] The warning auxiliary decision module can provide the driver with a reasonable decision basis with concise avoidance instructions and auxiliary conflict allocation solutions when the danger caused by runway intrusion is accurately detected.

[0031] There is a signal connection between the monitoring data source input module and the monitoring data preprocessing module, a signal connection between the monitoring data preprocessing module and the airborne surface operation monitoring module, a signal connection between the airborne surface operation monitoring module and the runway intrusion warning module, and a signal connection between the runway intrusion warning module and the warning auxiliary decision module.

[0032] Furthermore, the runway intrusion warning module has the function of sending warning information to the human-computer interaction interface and providing sound and light warnings.

[0033] The present invention provides an air-ground collaborative runway intrusion prevention warning method based on 5G AeroMACS technology, which has the following beneficial effects:

[0034] The new 5G AeroMACS technology of the new airport aviation mobile communication system is introduced. Its characteristics of being adapted to ground traffic communications within the airport protection zone are utilized, and the 5G civil aviation dedicated network is used to ensure the security, efficiency and timeliness of data transmission and communication. Through the design of the airborne runway intrusion prevention system and the injection of runway intrusion logic rules, runway intrusion risk warnings are given to aircraft pilots and runway intrusion event decision makers in a timely manner. A complete set of solutions is proposed for the key and difficult issues of runway intrusion warning for the airborne end, which can effectively reduce the risks brought by information transmission and improve the safety of airport runway operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A flow chart of an air-ground collaborative runway intrusion prevention warning method based on 5G AeroMACS technology of the present invention;

[0036] Figure 2 A schematic diagram of a runway end position point B of an air-ground collaborative anti-runway intrusion warning method based on 5G AeroMACS technology of the present invention;

[0037] Figure 3 A schematic diagram of a runway position point D of an air-ground collaborative anti-runway intrusion warning method based on 5G AeroMACS technology of the present invention;

[0038] Figure 4 A schematic diagram of information acquisition of a VOR / DME station in an air-to-ground collaborative anti-runway intrusion warning method based on 5G AeroMACS technology of the present invention;

[0039] Figure 5 This is a schematic diagram of the system architecture of an air-to-ground collaborative runway intrusion prevention warning method based on 5G AeroMACS technology of the present invention. DETAILED DESCRIPTION

[0040] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0041] For example, see Figure 1-5 :

[0042] An air-ground collaborative anti-runway intrusion warning method based on 5G AeroMACS technology includes the following steps: S1, 5G AeroMACS ground station acquires data, the data acquired by the 5G AeroMACS ground station includes SSR data, ADS-B data, MLAT data and other monitoring data. In step S1, the 5G AeroMACS ground station, as the core data collection point, captures key information within the airport in real time through a variety of sensors and communication means. SSR (secondary radar) data provides the identity and location information of the aircraft, ADS-B (automatic dependent surveillance-broadcast) data contains the real-time position, speed, heading and other dynamic information of the aircraft, MLAT multi-point (positioning) data accurately determines the target position through the time difference measurement of multiple receiving stations, and other monitoring data may include video monitoring, radar detection and meteorological information, etc., to provide all-round data support for runway safety. S2, parse data through standard protocol. When parsing data through standard protocol, it is necessary to extract all data containing positioning information, and eliminate abnormal data according to data deviation, and then use extended Kalman filter and recurrent neural network model to parse 5G AeroMACS ground station acquires data for data fusion, and uses internationally common aviation data communication protocols (such as ASTERIX, ASTM, etc.) to parse the above data. First, all data packets containing precise positioning information are screened out, and abnormal data caused by equipment failure, signal interference, etc. are eliminated by using statistical analysis and threshold setting methods. Subsequently, the extended Kalman filter algorithm is used to smooth the position data to reduce the impact of noise. At the same time, the recurrent neural network model is used to fuse multi-source data to improve the accuracy and completeness of the data. S3. Extract the effective positioning data of aircraft, vehicles and pedestrians. After preprocessing, the effective positioning information of aircraft, ground vehicles and pedestrians needs to be further extracted, including precise position coordinates, speed, acceleration, etc., to provide a basis for subsequent spatial position relationship analysis. S4. Fusion of different data originates from the same spatial coordinate system. In order to unify the analysis, all extracted positioning data need to be converted to the same geographic coordinate system (such as WGS-84) to ensure that data from different sources are comparable in space, laying the foundation for subsequent position relationship judgment. S5. 5G AeroMACS airborne equipment, 5G The operation of AeroMACS airborne equipment generates surface monitoring source data. The 5G AeroMACS equipment on the airborne side is responsible for generating and sending the aircraft's surface monitoring source data, including but not limited to the aircraft's position, speed, attitude, etc. These data are transmitted to the ground station and other related systems at high speed through the 5G network. S6, aircraft positioning data, pilot takeoff aircraft operation data and landing aircraft VOR / MDE, GNSS data acquisition, pilot takeoff aircraft operation data including aircraft takeoff push rod operation-engine parameter change data acquisition time A, set the aircraft to fly over the runway end identification line,In conjunction with the onboard ADS-B aircraft positioning data, obtain the time and position point B of the identification line at the end of the runway protection zone in the direction of the runway centerline extension line. For landing aircraft, cooperate with the VOR / DME station to obtain the slant distance non-ground distance at the end of the runway, instrument landing system ILS information and aircraft altitude information, obtain the time and position point C of the aircraft flying over the MDA / H point before the MAPT point, set the aircraft runway departure identification line, and obtain the time and position point D of the aircraft leaving the runway through the intersection of the scene monitoring source positioning data and the departure line. The steps record in detail the data of the entire process from takeoff preparation to landing. During takeoff, record the time A of the push rod operation and the change of engine parameters. At the same time, set the runway end identification line. Combined with ADS-B data, accurately record the time and position B of the aircraft flying over the identification line at the end of the runway centerline extension line. For landing aircraft, use VOR / DME (very high frequency omnidirectional beacon / rangefinder), I LS (Instrument Landing System) and GNSS (Global Navigation Satellite System) data are used to determine the time and position of the aircraft passing the MDA / H (minimum descent altitude / height) point C before the MAPT (miss point), and a runway departure identification line is set to record the time and position D of the departure from the runway. S7. The relative position relationship between the aircraft positioning and the runway protection area. The runway protection area includes the identification line. A runway intrusion refers to the situation where any aircraft, vehicle or person at the airport mistakenly enters the ground protection area designated for aircraft landing and takeoff. The ground protection area includes the airport runway and the portion of the taxiway between the applicable runway holding position and the actual runway, the soil surface area within 75m on both sides of the runway centerline, the ILS sensitive area, the ILS critical area and the runway end safety area. The ground protection area includes the runway, the runway holding position and the portion between the road holding position and the runway. The scope of the runway protection area is defined in detail, including the runway itself, the taxiway, the soil surface area at both ends of the runway, the ILS sensitive area, the ILS critical area and the runway end safety area. LS sensitive area, critical area and runway end safety area, etc., to ensure that all key areas are included in the monitoring scope, S8, based on the injected runway intrusion logic rules, the scene monitoring target is compared with the aircraft position, and the runway intrusion prevention logic rules. For the take-off aircraft, it should start from the time A when the aircraft receives the take-off operation data, and real-time identification and judgment should be made whether there are other object monitoring data in the runway protection area between the front of the aircraft's own position and the runway end position point B, until the aircraft flies over the runway end position point B and ends the identification and judgment. If other object monitoring data is identified during the identification period, a runway intrusion warning signal is generated. For the landing aircraft, it starts from the MDA / H point C before the aircraft flies over the MAPT point, and real-time identification and judgment should be made whether there are other object monitoring data in the runway protection area between the front of the aircraft's own position and the runway departure position point D, until the aircraft leaves the runway, that is, position point D is generated and the identification and judgment is ended. If other object monitoring data is identified during the identification period, a runway intrusion warning signal is generated. According to the preset runway intrusion logic rules,Compare the position of the aircraft with the position of other objects in the runway protection zone in real time. During the takeoff phase, from the time A when the takeoff operation data is received until the aircraft completely flies over the end of the runway B, continuously monitor whether there are other objects in the runway protection zone. During the landing phase, from flying over the MDA / H point C until the aircraft completely leaves the runway D, continuous monitoring is also carried out. Once any potential runway intrusion is found, an alarm signal is immediately triggered. S9: Is there a runway intrusion target? If not, loop step seven. If yes, proceed to the next step. S10: If there is a runway intrusion target, generate alarm data. S11: Alarm assists decision-making and synchronously obtains the judgment information of step nine.

[0043] A storage medium, characterized in that the storage medium is a computer-readable storage medium, and an air-ground collaborative runway intrusion prevention warning program based on 5G AeroMACS technology is stored on the storage medium. The air-ground collaborative runway intrusion prevention warning program based on 5G AeroMACS technology can be executed by one or more processors to implement any of the steps of the air-ground collaborative runway intrusion prevention warning method based on 5G AeroMACS technology.

[0044] A runway intrusion prevention warning system includes: a monitoring data source input module 1, which realizes airport surface monitoring source data through 5G AeroMACS technology, a monitoring data preprocessing module 2, which completes relevant data cleaning and data fusion processing on the airborne end, an airborne surface operation monitoring module 3, which comprehensively calculates and monitors the above data with the airborne aircraft's own positioning data, the pilot's operation data, and the navigation facility location data on the airborne end, a runway intrusion warning module 4, which makes real-time judgments in combination with runway intrusion logic rules and generates an alarm when a runway intrusion target is detected, and an alarm auxiliary decision-making module 5, which, when the danger that may be caused by the runway intrusion is accurately detected, provides a concise avoidance instruction and an auxiliary conflict allocation method. The system provides a reasonable decision-making basis for the pilot. The monitoring data source input module 1 is connected with the monitoring data preprocessing module 2 by signal. The monitoring data preprocessing module 2 is connected with the airborne surface operation monitoring module 3 by signal. The airborne surface operation monitoring module 3 is connected with the runway intrusion warning module 4 by signal. The runway intrusion warning module 4 is connected with the warning auxiliary decision module 5 by signal. The runway intrusion warning module 4 has the function of sending the warning information to the human-machine interaction interface and giving an audible and visual warning. Storage medium: a high-performance computer-readable storage medium (such as SSD, NVMe, etc.) is used to store the anti-runway intrusion warning program based on 5G AeroMACS technology to ensure efficient execution of the program and fast reading and writing of data. The anti-runway intrusion warning system: consists of a monitoring data source input module, a monitoring data preprocessing module, an airborne surface operation monitoring module, a runway intrusion warning module and an warning auxiliary decision module. The modules are connected by high-speed signals to form a closed-loop monitoring and response system. The system has the characteristics of high automation and intelligence, which can effectively reduce the probability of runway intrusion events and ensure aviation safety.

[0045] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An air-ground collaborative runway intrusion prevention warning method based on 5G AeroMACS technology, characterized in that: The following steps are involved: S1, 5G AeroMACS ground station acquires data; S2, parsing data through standard protocols; S3, extracting effective positioning data of aircraft, vehicles and pedestrians; S4, fusion of different data originating from the same spatial coordinate system; S5, 5G AeroMACS airborne equipment; S6, aircraft positioning data, pilot takeoff aircraft operation data and landing aircraft VOR / MDE, GNSS data acquisition; S7. Relative position relationship between aircraft positioning and runway protection area; S8, based on the injected runway incursion logic rules, the surface surveillance target is compared with the aircraft position; S9, whether there is a runway intrusion target, if not, then loop through step 7, if yes, then proceed to the next step; S10, if there is a runway intrusion target, generate warning data; S11, alarm assists decision making and simultaneously obtains the judgment information of step nine.

2. According to claim 1, the air-ground collaborative anti-runway intrusion warning method based on 5G AeroMACS technology is characterized in that: The following steps are involved: According to the operation steps in S1, the data acquired by the 5G AeroMACS ground station includes SSR data, ADS-B data, MLAT data and other surveillance data.

3. According to claim 1, the air-ground collaborative anti-runway intrusion warning method based on 5G AeroMACS technology is characterized in that: The method comprises the following steps: according to the operation steps in S2, when the standard protocol parses the data, it is necessary to extract all the data containing the positioning information, and eliminate the abnormal data according to the data deviation, and then use the extended Kalman filter and the recurrent neural network model to fuse the data obtained by the 5G AeroMACS ground station.

4. According to claim 1, the air-ground collaborative anti-runway intrusion warning method based on 5G AeroMACS technology is characterized in that: The following steps are involved: According to the operation steps in S5, the 5G AeroMACS airborne equipment operates to generate surface monitoring source data.

5. According to claim 1, the air-ground coordinated anti-runway intrusion warning method based on 5G AeroMACS technology is characterized in that: The following steps are involved: According to the operation steps in S7, the runway protection area includes the identification line. Runway intrusion refers to the situation that any aircraft, vehicle or personnel at the airport mistakenly enters the ground protection area designated for aircraft landing and take-off. The ground protection area includes the airport runway and the portion of the taxiway between the applicable runway holding position and the actual runway, the soil surface area within 75m on both sides of the runway centerline, the ILS sensitive area, the ILS critical area and the runway end safety area. The ground protection area includes the runway, the runway holding position and the portion between the road holding position and the runway.

6. The air-ground coordinated anti-runway intrusion warning method based on 5G AeroMACS technology according to claim 1 is characterized in that: The following steps are involved: According to the operation steps in S6, The pilot's takeoff aircraft operation data includes the aircraft takeoff push rod operation-engine parameter change data acquisition time A, setting the aircraft flying over the runway end identification line, cooperating with the onboard ADS-B aircraft positioning data, obtaining the time and position point B of the aircraft flying over the identification line at the end of the runway protection zone in the direction of the runway centerline extension line; for landing aircraft, the VOR / DME station should be cooperated to obtain the slant distance non-ground distance at the end of the runway, instrument landing system ILS information and aircraft altitude information, and obtaining the time and position point C of the aircraft flying over the MDA / H point before the MAPT point; setting the aircraft leaving the runway identification line, and obtaining the aircraft leaving the runway time and position point D through the intersection of the scene monitoring source positioning data and the separation line.

7. The air-ground coordinated anti-runway intrusion warning method based on 5G AeroMACS technology according to claim 1 is characterized in that: The following steps are involved: According to the operation steps in S8, the runway intrusion prevention logic rule, for a take-off aircraft, should start with the time A when the aircraft receives the take-off operation data, and identify and judge in real time whether there is other object monitoring data in the runway protection zone between the front of the aircraft's own position and the position point B at the end of the runway, until the aircraft flies over the runway end position point B and the identification and judgment is terminated. If other object monitoring data is identified during the identification period, a runway intrusion warning signal is generated. For a landing aircraft, it should start with the MDA / H point C before the aircraft flies over the MAPT point, and identify and judge in real time whether there is other object monitoring data in the runway protection zone between the front of the aircraft's own position and the position point D for leaving the runway, until the aircraft leaves the runway, that is, the position point D is generated and the identification and judgment is terminated. If other object monitoring data is identified during the identification period, a runway intrusion warning signal is generated.

8. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and an air-ground collaborative runway intrusion prevention warning program based on 5G AeroMACS technology is stored on the storage medium. The air-ground collaborative runway intrusion prevention warning program based on 5G AeroMACS technology can be executed by one or more processors to implement the steps of the air-ground collaborative runway intrusion prevention warning method based on 5G AeroMACS technology as described in any one of claims 1 to 7.

9. A runway intrusion prevention warning system, characterized in that: include: A monitoring data source input module (1) realizes airport surface monitoring source data through 5G AeroMACS technology; Monitoring data preprocessing module (2), the airborne end completes relevant data cleaning and data fusion processing; The onboard surface operation monitoring module (3) performs comprehensive calculations on the above data together with the onboard aircraft's own positioning data, the pilot's operation data, and the navigation facility location data, and monitors the data in real time; A runway intrusion warning module (4) performs real-time judgment in combination with the runway intrusion logic rule and generates an alarm when a runway intrusion target is detected; The warning auxiliary decision module (5) provides the driver with a reasonable decision basis with concise avoidance instructions and auxiliary conflict allocation solutions when the danger caused by runway intrusion is accurately detected; The monitoring data source input module (1) is signal-connected to the monitoring data pre-processing module (2), the monitoring data pre-processing module (2) is signal-connected to the airborne surface operation monitoring module (3), the airborne surface operation monitoring module (3) is signal-connected to the runway incursion warning module (4), and the runway incursion warning module (4) is signal-connected to the warning auxiliary decision module (5).

10. A runway intrusion prevention warning system according to claim 9, characterized in that: The runway intrusion warning module (4) has the function of sending warning information to the human-machine interaction interface and providing an audible and visual warning.

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