A method and system for intelligent control of airport flight zone crossing safety

Abstract

The present invention discloses a method and system for intelligent safety control of airport flight zone crossings, which relates to the technical field of control data processing, including analyzing ground event records and air event records to determine the risk of each road, thereby providing a basis for setting traffic control rules. Traffic control rules for multiple roads are formulated based on aircraft flight plans, traffic patterns of roads between multiple functional areas, and the risk of each road. Traffic control rules are set by integrating aircraft flight conditions, daily road traffic, and road risks, thereby ensuring the accuracy of traffic control rules. Adjustment trigger conditions for road traffic control rules are constructed in combination with road traffic conditions and aircraft operating status deviation values ​​in the flight area, thereby adjusting traffic control rules, improving the adaptability of flight zone road safety control, and ensuring the intensity of flight zone road safety control.

Description

Technical Field

[0001] The present invention relates to the technical field of control data processing, and in particular to a method and system for intelligent control of safety at airport flight zone crossings. Background Art

[0002] The intelligent control scheme for airport flight zone crossing safety is mainly due to the rapid development of the aviation industry and the continuous expansion of airport scale. Traditional safety management methods can no longer meet the growing demand for flights and high-standard safety requirements. With the continuous maturity of technologies such as the Internet of Things, big data, and artificial intelligence, precise perception and intelligent control technologies have become the key to improving the safety of airport flight zone crossings. These technologies integrate high-precision radars, cameras, wireless sensor networks and other equipment to achieve all-round and real-time monitoring of the flight area and surrounding crossings, and timely warn and deal with safety hazards such as illegal intrusions and abnormal events. At the same time, combined with intelligent decision-making models and prediction models, real-time analysis and processing of safety information is carried out to achieve remote operation and control to ensure the safe operation of flight zone crossings.

[0003] In the prior art, the safety control of airport flight zone roads often only sets fixed traffic control rules based on ground traffic conditions, which cannot adapt to the ever-changing and complex traffic requirements of airport flight zones, resulting in poor safety control of airport flight zone roads and low adaptability of control.

[0004] Therefore, how to improve the safety control and adaptability of airport flight zone intersections is a technical problem that needs to be solved. Summary of the invention

[0005] The purpose of the present invention is to solve the problems of poor intelligent control of airport flight zone crossing safety and low adaptability in the prior art, and to propose an airport flight zone crossing safety intelligent control method and system, the method comprising:

[0006] Obtaining the geographical location information of the airport, determining the flight area of ​​the aircraft within the airport according to the geographical location information of the airport, dividing the flight area of ​​the aircraft into multiple functional areas, identifying the roads between the multiple functional areas, collecting the ground event records and the air event records of each functional area, and analyzing the ground event records and the air event records to determine the risk level of each road;

[0007] Receive aircraft flight plans, formulate traffic control rules for multiple roads based on aircraft flight plans, traffic patterns between multiple functional areas, and the risk level of each road, and conduct safety control of roads in the flight area through the traffic control rules;

[0008] Determine the calibrated operating status of the aircraft for a period of time before it arrives at the flight area according to the aircraft flight plan, monitor the actual operating status of the aircraft for a period of time before it arrives at the flight area, and compare the calibrated operating status of the aircraft with the actual operating status to determine the deviation value of the aircraft's operating status;

[0009] Obtain road traffic videos on the roads of each functional area, analyze the road traffic videos to determine the traffic conditions of the roads, combine the road traffic conditions and the deviation values ​​of the aircraft's operating status within the flight area to construct adjustment trigger conditions for road traffic control rules, and adjust the road traffic control rules based on the adjustment trigger conditions.

[0010] In some embodiments of the present application, ground event records and air event records of each functional area are collected, and the ground event records and air event records are analyzed to determine the risk level of each road, including:

[0011] According to the ground event occurrence records and the air event occurrence records of the functional area, a ground event list and an air event list are respectively constructed, and the event occurrence time and event end time of each ground event and air event are determined. The ground event list and the air event list have multiple ground events and multiple air events arranged in the order of the time of the event occurrence;

[0012] Determine the event duration of each ground event and air event respectively by relying on the event occurrence time and event end time of the ground event and air event, and determine the event impact time range of each ground event and air event according to the event type and event duration;

[0013] In the ground event list, other ground events occurring within the event impact time range of the ground event are recorded as ground events to be determined, the correlation between the ground event and each corresponding ground event to be determined is calculated, and the common occurrence frequency threshold between each ground event to be determined and the ground event is set according to the correlation, the ground event list is proofread by the common occurrence frequency threshold, the ground events to be determined that meet the common occurrence frequency threshold are taken as associated events of the corresponding ground events, and the ground events to be determined that do not meet the common occurrence frequency threshold are excluded from the corresponding relationship of the ground events, thereby determining all associated events of each ground event in the ground event list;

[0014] In the air event list, other air events occurring within the event impact time range of the air event are recorded as air events to be determined, the correlation between the air event and each of its corresponding air events to be determined is calculated, and a common occurrence frequency threshold between each air event to be determined and the air event is set according to the correlation, the air event list is proofread by the common occurrence frequency threshold, the air events to be determined that meet the common occurrence frequency threshold are taken as associated events of their corresponding air events, and the air events to be determined that do not meet the common occurrence frequency threshold are excluded from the corresponding relationship of the air events, thereby determining all associated events of each air event in the air event list;

[0015] The ground event list and the air event list are compared to determine the correlation between ground events and air events. The risk of each functional area is determined according to the severity of each ground event and air event, the associated events of the ground event, the associated events of the air event, and the correlation between the ground event and air events. The risk of each road is set based on the risk of each functional area and the roads between multiple functional areas.

[0016] In some embodiments of the present application, comparing the ground event list and the air event list to determine the association relationship between the ground event and the air event includes:

[0017] Align the ground events and air events in the ground event list and the air event list in terms of time scale, determine the air events that occur within the event duration of the ground events and the ground events that occur within the event duration of the air events, and record their corresponding relationships as pending relationships;

[0018] The preset causal chain model of ground events and air events is used to identify ground events and air events with causal relationships in the pending relationships. The parts of the pending relationships other than the causal relationships are screened through the correlation and common occurrence frequency thresholds to obtain the screened relationships. The causal relationships and the screened relationships are used as the relationships between ground events and air events.

[0019] In some embodiments of the present application, the risk level of each functional area is determined according to the severity of each ground event and air event, the associated events of the ground event, the associated events of the air event, and the association relationship between the ground event and the air event, including:

[0020] The events with associated events or associated relationships are regarded as non-individual events, the events without associated events and associated relationships are regarded as individual events, and the corresponding events in the association relationship between ground events and air events are also regarded as associated events of ground events or air events;

[0021] Quantify the correlation strength of the associated events of non-single events, normalize the correlation strength, and determine the risk of the functional area according to the severity of the single event, the severity of the non-single event, and the correlation strength and severity of the associated events corresponding to the non-single event;

[0022] ;

[0023] in, For the The risk level of each functional area, , are the proportions of single events and non-single events, respectively. The number of individual events, For the Functional area The severity of a single incident, is the number of non-unique events, For the Functional area The severity of a non-isolated event, For the The number of associated events corresponding to non-individual events, For the The first non-individual event The weight of the association strength conversion of the associated events, For the The first non-individual event The severity of the associated events, is a preset constant.

[0024] In some embodiments of the present application, traffic control rules for multiple roads are formulated according to the aircraft flight plan, the traffic patterns of the roads between multiple functional areas, and the risk level of each road, including:

[0025] The flight schedule of each aircraft is determined according to the aircraft flight plan, the road congestion is determined by the traffic patterns of roads between multiple functional areas, and the road control degree is calculated based on the road congestion and risk. The traffic control level of different roads in different time periods is determined according to the flight schedule of each aircraft and the road control level. Different traffic control levels correspond to different combinations of specific traffic control rules.

[0026] In some embodiments of the present application, before determining the calibrated operating state of the aircraft within a period of time before the aircraft arrives at the flight area according to the aircraft flight plan, the method further includes:

[0027] The judgment time is determined based on the aircraft flight plan, the aircraft's flight mission type, weather conditions during the flight, aircraft performance and air traffic control requirements, the time node when the aircraft arrives at the flight area is predicted, and the safety time is determined based on the adjustment time of the traffic control rules of the flight area. The period before the aircraft arrives at the flight area is determined based on the safety time, the judgment time and the time node when the aircraft arrives at the flight area.

[0028] In some embodiments of the present application, comparing the calibrated operating state of the aircraft with the actual operating state to determine the operating state deviation value of the aircraft includes:

[0029] An operating parameter curve is drawn showing the changes of the aircraft's operating parameters over time. The calibrated operating state and the actual operating state of the aircraft are described by the operating parameter curve. The deviation of each operating parameter is obtained by comparing the operating parameter curve of the calibrated operating state with the operating parameter curve of the actual operating state. The deviation of each operating parameter is weightedly summed to obtain the aircraft's operating state deviation value.

[0030] In some embodiments of the present application, the adjustment triggering conditions of the road traffic control rules are constructed in combination with the traffic conditions of the road and the deviation value of the operating state of the aircraft in the flight area, and the road traffic control rules are adjusted according to the adjustment triggering conditions, including:

[0031] Determine the road congestion according to the traffic conditions of the road, and determine the road congestion deviation value by the deviation between the road congestion and the congestion threshold value;

[0032] The adjustment triggering condition of the road traffic control rules is constructed by the road congestion deviation value and the aircraft operation status deviation value in the flight area. The adjustment triggering condition of the road traffic control rules is that one or both of the road congestion deviation value and the aircraft operation status deviation value in the flight area exceed the corresponding threshold value.

[0033] The traffic control level is adjusted by the road congestion deviation value, the aircraft operation status deviation value in the flight area and the corresponding threshold value;

[0034] ;

[0035] in, The traffic control level after adjustment: This is the traffic control level before the adjustment. is the road congestion deviation value, is the threshold of the road congestion deviation value, is the deviation value of the aircraft’s operating status within the flight area, is the threshold of the deviation value of the aircraft's operating status in the flight area, is the function of the difference between the road congestion deviation value and the threshold value, is the function of the difference between the aircraft's operating status deviation value and the threshold value in the flight area, is the adjustment factor, [] is the value symbol;

[0036] If there is no situation that exceeds the corresponding reasonable range, the traffic control rules of the road will not be adjusted.

[0037] Correspondingly, the present application also provides an airport flight area crossing safety intelligent management and control system, including:

[0038] The first module is used to obtain the geographical location information of the airport, determine the flight area of ​​the aircraft in the airport according to the geographical location information of the airport, divide the flight area of ​​the aircraft into multiple functional areas, identify the roads between the multiple functional areas, collect the ground event records and the air event records of each functional area, and analyze the ground event records and the air event records to determine the risk level of each road;

[0039] The second module is used to receive the aircraft flight plan, formulate traffic control rules for multiple roads according to the aircraft flight plan, the traffic mode of the roads between multiple functional areas and the risk level of each road, and perform safety control on the roads in the flight area through the traffic control rules of the roads;

[0040] The third module is used to determine the calibrated operating state of the aircraft for a period of time before the aircraft arrives at the flight area according to the aircraft flight plan, monitor the actual operating state of the aircraft for a period of time before the aircraft flies to the flight area, and compare the calibrated operating state of the aircraft with the actual operating state to determine the operating state deviation value of the aircraft;

[0041] The fourth module is used to obtain road traffic videos on the roads of each functional area, analyze the road traffic videos to determine the traffic conditions of the roads, combine the road traffic conditions and the deviation values ​​of the aircraft's operating status in the flight area to construct adjustment trigger conditions for road traffic control rules, and adjust the road traffic control rules according to the adjustment trigger conditions.

[0042] By applying the above technical solutions, the risk level of each road is determined by analyzing the records of ground events and air events, thus providing a basis for setting traffic control rules. Traffic control rules for multiple roads are formulated based on aircraft flight plans, traffic patterns between multiple functional areas, and the risk level of each road. Traffic control rules are set based on a combination of aircraft flight conditions, daily road traffic, and road risks, ensuring the accuracy of traffic control rules. The adjustment trigger conditions for road traffic control rules are constructed based on the road traffic conditions and the deviation value of the aircraft's operating status in the flight area, thereby adjusting the traffic control rules, improving the adaptability of road safety control in the flight area, and ensuring the strength of road safety control in the flight area. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 A schematic diagram of a flow chart of an intelligent control method for airport flight zone crossing safety proposed by the present invention;

[0044] Figure 2 This is a structural schematic diagram of an airport flight area crossing safety intelligent management and control system proposed by the present invention. DETAILED DESCRIPTION

[0045] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0046] Reference Figure 1 , a method for intelligent control of airport flight area crossing safety, comprising the following steps:

[0047] Step S101, obtain the airport geographic location information, determine the flight area of ​​the aircraft in the airport according to the airport geographic location information, and divide the aircraft flight area into multiple functional areas, confirm the roads between the multiple functional areas, collect the ground event records and the air event records of each functional area, and analyze the ground event records and the air event records to determine the risk of each road.

[0048] In this embodiment, the flight area of ​​the aircraft is divided into multiple functional areas, including but not limited to the following areas:

[0049] 1. Runway

[0050] Function: The runway is a rectangular area for aircraft to land and take off. It is the core part of the airfield. It determines the grade of the airport and the types of aircraft that can take off and land. The runway surface must be strong and durable to withstand the huge impact and friction when the aircraft takes off and lands.

[0051] 2. Taxiway

[0052] Function: A taxiway is a passage connecting the runway and the apron for use by aircraft when taxiing on the ground. It allows aircraft to taxi from the apron to the runway to prepare for takeoff, or from the runway to the apron to prepare for docking. The design of the taxiway should ensure that aircraft can taxi safely and smoothly, avoiding collisions with other aircraft or obstacles.

[0053] 3. Parking area

[0054] Function: The apron is an area for parking aircraft and conducting various ground activities. It includes passenger aprons, cargo aprons and maintenance aprons. On the apron, aircraft can refuel, load and unload cargo, board and disembark passengers, and perform maintenance operations. The design of the apron should meet the parking needs of various types of aircraft and ensure a safe distance between aircraft.

[0055] 4. Contact Road

[0056] Function: A tie road is a short distance passage connecting the runway and the taxiway or apron. It allows aircraft to quickly switch between the runway and the taxiway or apron, improving the operational efficiency of the airport. The design of the tie road should ensure that the aircraft can make a smooth transition and avoid affecting the normal operation of the runway and taxiway.

[0057] 5. Clearance area

[0058] Function: The clear zone refers to the airspace within a certain range above the two ends and sides of the runway, which is used to ensure the safety of aircraft during takeoff and landing. There must be no obstacles such as tall buildings and trees in the clear zone, so as not to affect the flight trajectory and safety of the aircraft. The demarcation and maintenance of the clear zone is an important part of ensuring the safe operation of the airport.

[0059] In some embodiments of the present application, ground event records and air event records of each functional area are collected, and the ground event records and air event records are analyzed to determine the risk level of each road, including:

[0060] According to the ground event occurrence records and the air event occurrence records of the functional area, a ground event list and an air event list are respectively constructed, and the event occurrence time and event end time of each ground event and air event are determined. The ground event list and the air event list have multiple ground events and multiple air events arranged in the order of the time of the event occurrence;

[0061] Determine the event duration of each ground event and air event respectively by relying on the event occurrence time and event end time of the ground event and air event, and determine the event impact time range of each ground event and air event according to the event type and event duration;

[0062] In the ground event list, other ground events occurring within the event impact time range of the ground event are recorded as ground events to be determined, the correlation between the ground event and each corresponding ground event to be determined is calculated, and the common occurrence frequency threshold between each ground event to be determined and the ground event is set according to the correlation, the ground event list is proofread by the common occurrence frequency threshold, the ground events to be determined that meet the common occurrence frequency threshold are taken as associated events of the corresponding ground events, and the ground events to be determined that do not meet the common occurrence frequency threshold are excluded from the corresponding relationship of the ground events, thereby determining all associated events of each ground event in the ground event list;

[0063] In the air event list, other air events occurring within the event impact time range of the air event are recorded as air events to be determined, the correlation between the air event and each of its corresponding air events to be determined is calculated, and a common occurrence frequency threshold between each air event to be determined and the air event is set according to the correlation, the air event list is proofread by the common occurrence frequency threshold, the air events to be determined that meet the common occurrence frequency threshold are taken as associated events of their corresponding air events, and the air events to be determined that do not meet the common occurrence frequency threshold are excluded from the corresponding relationship of the air events, thereby determining all associated events of each air event in the air event list;

[0064] The ground event list and the air event list are compared to determine the correlation between ground events and air events. The risk of each functional area is determined according to the severity of each ground event and air event, the associated events of the ground event, the associated events of the air event, and the correlation between the ground event and air events. The risk of each road is set based on the risk of each functional area and the roads between multiple functional areas.

[0065] In this embodiment, ground events mainly refer to various abnormal events that occur on the ground of the airport. These events may involve abnormal events such as ground operations of aircraft, ground activities of personnel, and operation of ground facilities. Air events refer to various abnormal events that occur in the airspace of the airport. These events are mainly related to the flight activities of aircraft. Find ground events and air events that have a correlation (indicating that different events are related), and determine the event impact time range of each ground event and air event based on the event type and event duration. Different types of events may correspond to different times. The event impact time range is determined by combining the type and event duration.

[0066] In this embodiment, other ground events that occur within the event impact time range of the ground event are recorded as ground events that need to be determined, the relevance of each ground event that needs to be determined is calculated, and the common occurrence frequency threshold of each ground event that needs to be determined and the ground event is set according to the relevance. For example, the ground event list includes event 1-event 2-event 3-event 4-event 5, which are arranged in chronological order. Event 2, event 3, and event 4 appear within the event impact time range of event 1, and then event 2-4 is the ground event that needs to be determined of event 1. The relevance of event 2-4 with event 1 is calculated respectively. Different relevances correspond to different common occurrence frequency thresholds. The higher the relevance, the higher the common occurrence frequency threshold. The common occurrence frequency refers to the frequency of common occurrence of event 1 and one of events 2-4 within a time period. Events 2-4 that meet the common occurrence frequency threshold are regarded as associated events of event 1. The same is true for air events.

[0067] In this embodiment, after the risk level of each functional area is determined, the risk level of each road is configured according to the road relationship between the functional areas.

[0068] In some embodiments of the present application, comparing the ground event list and the air event list to determine the association relationship between the ground event and the air event includes:

[0069] Align the ground events and air events in the ground event list and the air event list in terms of time scale, determine the air events that occur within the event duration of the ground events and the ground events that occur within the event duration of the air events, and record their corresponding relationships as pending relationships;

[0070] The preset causal chain model of ground events and air events is used to identify ground events and air events with causal relationships in the pending relationships. The parts of the pending relationships other than the causal relationships are screened through the correlation and common occurrence frequency thresholds to obtain the screened relationships. The causal relationships and the screened relationships are used as the relationships between ground events and air events.

[0071] In this embodiment, the correlation between ground events and air events is calculated here. Because there is a strong causal relationship between ground events and air events, and the event interval is short, so only by screening through the event duration, the ground event may indeed directly lead to the occurrence of the air event, and this impact may be almost immediate. For example, a sudden failure of ground equipment may immediately cause an accident to an aircraft that is taking off or landing. In this case, the time interval between the ground event and the air event is very short. The causal chain model can be constructed in the form of graphics or text by analyzing historical data, identifying direct causes, and tracing indirect causes. The part of the pending relationship other than the causal association relationship is screened by the correlation and common frequency threshold to obtain the screened association relationship. The screening process is the same as the process of the ground event.

[0072] In some embodiments of the present application, the risk level of each functional area is determined according to the severity of each ground event and air event, the associated events of the ground event, the associated events of the air event, and the association relationship between the ground event and the air event, including:

[0073] The events with associated events or associated relationships are regarded as non-individual events, the events without associated events and associated relationships are regarded as individual events, and the corresponding events in the association relationship between ground events and air events are also regarded as associated events of ground events or air events;

[0074] Quantify the correlation strength of the associated events of non-single events, normalize the correlation strength, and determine the risk of the functional area according to the severity of the single event, the severity of the non-single event, and the correlation strength and severity of the associated events corresponding to the non-single event;

[0075] ;

[0076] in, For the The risk level of each functional area, , are the proportions of single events and non-single events, The number of individual events, For the Functional area The severity of a single incident, is the number of non-unique events, For the Functional area The severity of a non-isolated event, For the The number of associated events corresponding to non-individual events, For the The first non-individual event The weight of the association strength conversion of the associated events, For the The first non-individual event The severity of the associated events, is a preset constant.

[0077] In this embodiment, Indicates the correction of the severity of non-isolated events by associated events of non-isolated events.

[0078] Step S102, receiving an aircraft flight plan, formulating traffic control rules for multiple roads according to the aircraft flight plan, the traffic patterns of roads between multiple functional areas and the risk level of each road, and performing safety control on the roads in the flight area through the traffic control rules of the roads.

[0079] In this embodiment, the initial traffic control rules are set in advance, and the traffic control rules include specific rules such as speed limit, vehicle number limit, traffic light signal limit, etc.

[0080] In some embodiments of the present application, traffic control rules for multiple roads are formulated according to the aircraft flight plan, the traffic patterns of the roads between multiple functional areas, and the risk level of each road, including:

[0081] The flight schedule of each aircraft is determined according to the aircraft flight plan, the road congestion is determined by the traffic patterns of roads between multiple functional areas, and the road control degree is calculated based on the road congestion and risk. The traffic control level of different roads in different time periods is determined according to the flight schedule of each aircraft and the road control level. Different traffic control levels correspond to different combinations of specific traffic control rules.

[0082] In this embodiment, the combination of different specific traffic control rules refers to the combination of different specific rule restriction parameter intervals.

[0083] Step S103, determining the calibrated operating state of the aircraft for a period of time before it arrives at the flight area according to the aircraft flight plan, monitoring the actual operating state of the aircraft for a period of time before it arrives at the flight area, and comparing the calibrated operating state of the aircraft with the actual operating state to determine the operating state deviation value of the aircraft.

[0084] In this embodiment, the impact of aircraft flight is taken into consideration, and the aircraft is monitored and compared before arriving at the flight area to determine the operation status deviation value. The larger the value, the more deviation and more dangerous the aircraft flight is. Thus, the traffic rules at the time of arrival are changed.

[0085] In some embodiments of the present application, before determining the calibrated operating state of the aircraft within a period of time before the aircraft arrives at the flight area according to the aircraft flight plan, the method further includes:

[0086] The judgment time is determined based on the aircraft flight plan, the aircraft's flight mission type, weather conditions during the flight, aircraft performance and air traffic control requirements, the time node when the aircraft arrives at the flight area is predicted, and the safety time is determined based on the adjustment time of the traffic control rules of the flight area. The period before the aircraft arrives at the flight area is determined based on the safety time, the judgment time and the time node when the aircraft arrives at the flight area.

[0087] In this embodiment, before monitoring the flight status of the aircraft, the time node for monitoring is determined first, and a determination time is set by considering the flight mission type, the weather conditions during the flight, the aircraft performance, and the air traffic control requirements. The determination time is the time for detecting, analyzing, and calibrating the operating status, and the safety time is the adjustment time for adjusting the traffic control rules. The safety time is closer to the time node when the aircraft arrives at the flight area, and the time sequence of the safety time, the determination time, and the time node when the aircraft arrives at the flight area is determination time-safety time-time node when the aircraft arrives at the flight area.

[0088] In some embodiments of the present application, comparing the calibrated operating state of the aircraft with the actual operating state to determine the operating state deviation value of the aircraft includes:

[0089] An operating parameter curve is drawn showing the changes of the aircraft's operating parameters over time. The calibrated operating state and the actual operating state of the aircraft are described by the operating parameter curve. The deviation of each operating parameter is obtained by comparing the operating parameter curve of the calibrated operating state with the operating parameter curve of the actual operating state. The deviation of each operating parameter is weightedly summed to obtain the aircraft's operating state deviation value.

[0090] Step S104, obtaining road traffic videos on the roads of each functional area, analyzing the road traffic videos to determine the traffic conditions of the roads, combining the traffic conditions of the roads and the deviation values ​​of the operating status of the aircraft in the flight area to construct adjustment trigger conditions for the road traffic control rules, and adjusting the road traffic control rules according to the adjustment trigger conditions.

[0091] In this embodiment, the traffic conditions of the road are determined by using image or video analysis technology, and whether the road rules need to be adjusted is determined in combination with the road deviation and the aircraft operation deviation.

[0092] In some embodiments of the present application, the adjustment triggering conditions of the road traffic control rules are constructed in combination with the traffic conditions of the road and the deviation value of the operating state of the aircraft in the flight area, and the road traffic control rules are adjusted according to the adjustment triggering conditions, including:

[0093] Determine the road congestion according to the traffic conditions of the road, and determine the road congestion deviation value by the deviation between the road congestion and the congestion threshold value;

[0094] The adjustment triggering condition of the road traffic control rules is constructed by the road congestion deviation value and the aircraft operation status deviation value in the flight area. The adjustment triggering condition of the road traffic control rules is that one or both of the road congestion deviation value and the aircraft operation status deviation value in the flight area exceed the corresponding threshold value.

[0095] The traffic control level is adjusted by the road congestion deviation value, the aircraft operation status deviation value in the flight area and the corresponding threshold value;

[0096] ;

[0097] in, The traffic control level after adjustment: This is the traffic control level before the adjustment. is the road congestion deviation value, is the threshold of the road congestion deviation value, is the deviation value of the aircraft’s operating status within the flight area, is the threshold of the deviation value of the aircraft's operating status in the flight area, is the function of the difference between the road congestion deviation value and the threshold value, is the function of the difference between the aircraft's operating status deviation value and the threshold value in the flight area, is the adjustment factor, [] is the value symbol;

[0098] If there is no situation that exceeds the corresponding reasonable range, the traffic control rules of the road will not be adjusted.

[0099] In this embodiment, when the road congestion deviation value is greater than the threshold, Output the difference between the two, otherwise, the output is 0. Similarly, the adjustment factor is obtained by mapping the sum of the two functions. If the sum of the two functions is 0, the adjustment factor is 1.

[0100] By applying the above technical solutions, the risk level of each road is determined by analyzing the records of ground events and air events, thus providing a basis for setting traffic control rules. Traffic control rules for multiple roads are formulated based on aircraft flight plans, traffic patterns between multiple functional areas, and the risk level of each road. Traffic control rules are set based on a combination of aircraft flight conditions, daily road traffic, and road risks, ensuring the accuracy of traffic control rules. The adjustment trigger conditions for road traffic control rules are constructed based on the road traffic conditions and the deviation value of the aircraft's operating status in the flight area, thereby adjusting the traffic control rules, improving the adaptability of road safety control in the flight area, and ensuring the strength of road safety control in the flight area.

[0101] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present invention can be implemented by hardware, or by software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of the present invention.

[0102] Correspondingly, the present application also provides an airport flight area crossing safety intelligent management and control system, such as Figure 2 As shown, including:

[0103] The first module is used to obtain the geographical location information of the airport, determine the flight area of ​​the aircraft in the airport according to the geographical location information of the airport, divide the flight area of ​​the aircraft into multiple functional areas, identify the roads between the multiple functional areas, collect the ground event records and the air event records of each functional area, and analyze the ground event records and the air event records to determine the risk level of each road;

[0104] The second module is used to receive the aircraft flight plan, formulate traffic control rules for multiple roads according to the aircraft flight plan, the traffic mode of the roads between multiple functional areas and the risk level of each road, and perform safety control on the roads in the flight area through the traffic control rules of the roads;

[0105] The third module is used to determine the calibrated operating state of the aircraft for a period of time before the aircraft arrives at the flight area according to the aircraft flight plan, monitor the actual operating state of the aircraft for a period of time before the aircraft flies to the flight area, and compare the calibrated operating state of the aircraft with the actual operating state to determine the operating state deviation value of the aircraft;

[0106] The fourth module is used to obtain road traffic videos on the roads of each functional area, analyze the road traffic videos to determine the traffic conditions of the roads, combine the road traffic conditions and the deviation values ​​of the aircraft's operating status in the flight area to construct adjustment trigger conditions for road traffic control rules, and adjust the road traffic control rules according to the adjustment trigger conditions.

[0107] Those skilled in the art will appreciate that the accompanying drawings are merely schematic diagrams of a preferred implementation scenario, and the modules or processes in the accompanying drawings are not necessarily required for implementing the present invention.

[0108] Those skilled in the art will appreciate that the modules in the system in the implementation scenario can be distributed in the system of the implementation scenario according to the implementation scenario description, or can be changed accordingly and located in one or more systems different from the implementation scenario. The modules in the above implementation scenario can be combined into one module, or can be further split into multiple sub-modules.

[0109] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for intelligent control of airport flight zone crossing safety, characterized in that: include: Obtaining the geographical location information of the airport, determining the flight area of ​​the aircraft within the airport according to the geographical location information of the airport, dividing the flight area of ​​the aircraft into multiple functional areas, identifying the roads between the multiple functional areas, collecting the ground event records and the air event records of each functional area, and analyzing the ground event records and the air event records to determine the risk level of each road; Receive aircraft flight plans, formulate traffic control rules for multiple roads based on aircraft flight plans, traffic patterns between multiple functional areas, and the risk level of each road, and conduct safety control of roads in the flight area through the traffic control rules; Determine the calibrated operating status of the aircraft for a period of time before it arrives at the flight area according to the aircraft flight plan, monitor the actual operating status of the aircraft for a period of time before it arrives at the flight area, and compare the calibrated operating status of the aircraft with the actual operating status to determine the deviation value of the aircraft's operating status; Obtain road traffic videos on the roads of each functional area, analyze the road traffic videos to determine the traffic conditions of the roads, combine the road traffic conditions and the deviation values ​​of the aircraft's operating status in the flight area to construct the adjustment trigger conditions of the road traffic control rules, and adjust the road traffic control rules according to the adjustment trigger conditions; collect the ground event records and air event records of each functional area, and analyze the ground event records and air event records to determine the risk level of each road, including: According to the ground event occurrence records and the air event occurrence records of the functional area, a ground event list and an air event list are respectively constructed, and the event occurrence time and event end time of each ground event and air event are determined. The ground event list and the air event list have multiple ground events and multiple air events arranged in the order of the time of the event occurrence; Determine the event duration of each ground event and air event respectively by relying on the event occurrence time and event end time of the ground event and air event, and determine the event impact time range of each ground event and air event according to the event type and event duration; In the ground event list, other ground events occurring within the event impact time range of the ground event are recorded as ground events to be determined, the correlation between the ground event and each corresponding ground event to be determined is calculated, and the common occurrence frequency threshold between each ground event to be determined and the ground event is set according to the correlation, the ground event list is proofread by the common occurrence frequency threshold, the ground events to be determined that meet the common occurrence frequency threshold are taken as associated events of the corresponding ground events, and the ground events to be determined that do not meet the common occurrence frequency threshold are excluded from the corresponding relationship of the ground events, thereby determining all associated events of each ground event in the ground event list; In the air event list, other air events occurring within the event impact time range of the air event are recorded as air events to be determined, the correlation between the air event and each of its corresponding air events to be determined is calculated, and a common occurrence frequency threshold between each air event to be determined and the air event is set according to the correlation, the air event list is proofread by the common occurrence frequency threshold, the air events to be determined that meet the common occurrence frequency threshold are taken as associated events of their corresponding air events, and the air events to be determined that do not meet the common occurrence frequency threshold are excluded from the corresponding relationship of the air events, thereby determining all associated events of each air event in the air event list; The ground event list and the air event list are compared to determine the correlation between ground events and air events. The risk of each functional area is determined according to the severity of each ground event and air event, the associated events of the ground event, the associated events of the air event, and the correlation between the ground event and air events. The risk of each road is set based on the risk of each functional area and the roads between multiple functional areas.

2. The method for intelligent control of airport flight zone crossing safety according to claim 1 is characterized in that: Compare the ground event list and the air event list to determine the relationship between ground events and air events, including: Align the ground events and air events in the ground event list and the air event list in terms of time scale, determine the air events that occur within the event duration of the ground events and the ground events that occur within the event duration of the air events, and record their corresponding relationships as pending relationships; The preset causal chain model of ground events and air events is used to identify ground events and air events with causal relationships in the pending relationships. The parts of the pending relationships other than the causal relationships are screened through the correlation and common occurrence frequency thresholds to obtain the screened relationships. The causal relationships and the screened relationships are used as the relationships between ground events and air events.

3. The method for intelligent control of airport flight zone crossing safety according to claim 2 is characterized in that: The risk level of each functional area is determined based on the severity of each ground event and air event, the associated events of the ground event, the associated events of the air event, and the relationship between the ground event and the air event, including: The events with associated events or associated relationships are regarded as non-individual events, the events without associated events and associated relationships are regarded as individual events, and the corresponding events in the association relationship between ground events and air events are also regarded as associated events of ground events or air events; Quantify the correlation strength of the associated events of non-single events, normalize the correlation strength, and determine the risk of the functional area according to the severity of the single event, the severity of the non-single event, and the correlation strength and severity of the associated events corresponding to the non-single event; ； in, For the The risk level of each functional area, , are the proportions of single events and non-single events, The number of individual events, For the Functional area The severity of a single incident, is the number of non-unique events, For the Functional area The severity of a non-isolated event, For the The number of associated events corresponding to non-individual events, For the The first non-individual event The weight of the association strength conversion of the associated events, For the The first non-individual event The severity of the associated events, is a preset constant.

4. The method for intelligent control of airport flight zone crossing safety according to claim 1 is characterized in that: Traffic control rules for multiple roads are formulated based on aircraft flight plans, traffic patterns between multiple functional areas, and the risk level of each road, including: The flight schedule of each aircraft is determined according to the aircraft flight plan, the road congestion is determined by the traffic patterns of roads between multiple functional areas, and the road control degree is calculated based on the road congestion and risk. The traffic control level of different roads in different time periods is determined according to the flight schedule of each aircraft and the road control level. Different traffic control levels correspond to different combinations of specific traffic control rules.

5. The method for intelligent control of airport flight zone crossing safety according to claim 1 is characterized in that: Before determining the calibrated operating state of the aircraft within a period of time before the aircraft arrives at the flight area according to the aircraft flight plan, the method further includes: The judgment time is determined based on the aircraft flight plan, the aircraft's flight mission type, weather conditions during the flight, aircraft performance and air traffic control requirements, the time node when the aircraft arrives at the flight area is predicted, and the safety time is determined based on the adjustment time of the traffic control rules of the flight area. The period before the aircraft arrives at the flight area is determined based on the safety time, the judgment time and the time node when the aircraft arrives at the flight area.

6. The method for intelligent control of airport flight zone crossing safety according to claim 1 is characterized in that: Compare the aircraft's calibrated operating state with the actual operating state to determine the aircraft's operating state deviation value, including: An operating parameter curve is drawn showing the changes of the aircraft's operating parameters over time. The calibrated operating state and the actual operating state of the aircraft are described by the operating parameter curve. The deviation of each operating parameter is obtained by comparing the operating parameter curve of the calibrated operating state with the operating parameter curve of the actual operating state. The deviation of each operating parameter is weightedly summed to obtain the aircraft's operating state deviation value.

7. The method for intelligent control of airport flight zone crossing safety according to claim 4 is characterized in that: The adjustment trigger conditions of the road traffic control rules are constructed based on the traffic conditions of the road and the deviation values ​​of the aircraft's operating status in the flight area, and the road traffic control rules are adjusted according to the adjustment trigger conditions, including: Determine the road congestion according to the traffic conditions of the road, and determine the road congestion deviation value by the deviation between the road congestion and the congestion threshold value; The adjustment triggering condition of the road traffic control rules is constructed by the road congestion deviation value and the aircraft operation status deviation value in the flight area. The adjustment triggering condition of the road traffic control rules is that one or both of the road congestion deviation value and the aircraft operation status deviation value in the flight area exceed the corresponding threshold value. The traffic control level is adjusted by the road congestion deviation value, the aircraft operation status deviation value in the flight area and the corresponding threshold value; ； in, The traffic control level after adjustment: This is the traffic control level before the adjustment. is the road congestion deviation value, is the threshold of the road congestion deviation value, is the deviation value of the aircraft’s operating status within the flight area, is the threshold of the deviation value of the aircraft's operating status in the flight area, is the function of the difference between the road congestion deviation value and the threshold value, is the function of the difference between the aircraft's operating status deviation value and the threshold value in the flight area, is the adjustment factor, [] is the value symbol; If there is no situation that exceeds the corresponding reasonable range, the traffic control rules of the road will not be adjusted.

8. An airport flight area crossing safety intelligent management and control system, characterized in that: For executing the method according to any one of claims 1 to 7, comprising: The first module is used to obtain the geographical location information of the airport, determine the flight area of ​​the aircraft in the airport according to the geographical location information of the airport, divide the flight area of ​​the aircraft into multiple functional areas, identify the roads between the multiple functional areas, collect the ground event records and the air event records of each functional area, and analyze the ground event records and the air event records to determine the risk level of each road; The second module is used to receive the aircraft flight plan, formulate traffic control rules for multiple roads according to the aircraft flight plan, the traffic mode of the roads between multiple functional areas and the risk level of each road, and perform safety control on the roads in the flight area through the traffic control rules of the roads; The third module is used to determine the calibrated operating state of the aircraft for a period of time before the aircraft arrives at the flight area according to the aircraft flight plan, monitor the actual operating state of the aircraft for a period of time before the aircraft flies to the flight area, and compare the calibrated operating state of the aircraft with the actual operating state to determine the operating state deviation value of the aircraft; The fourth module is used to obtain road traffic videos on the roads of each functional area, analyze the road traffic videos to determine the traffic conditions of the roads, combine the road traffic conditions and the deviation values ​​of the aircraft's operating status in the flight area to construct adjustment trigger conditions for road traffic control rules, and adjust the road traffic control rules according to the adjustment trigger conditions.

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