Multi-machine-multi-station networked distributed navigation path point time accurate prediction device

Abstract

The invention discloses a multi-aircraft-multi-station networked distributed route point time accurate prediction device, which is helpful for ground control personnel to pre-judge the current air route pressure, the number of flights entering and leaving the port, the delay information of the flights entering and leaving the port and the flight number trend in the future time period, improves the control working efficiency and realizes flight situation sharing in the airspace. The flight information pushing system realizes real-time collaborative sharing of a ground end and a machine end by means of a safety type ground-air data link; the airborne mobile terminal is located at an aircraft unit end and obtains a current flight handling plan, follow-up point pre-arrival time calculated by an FMS, aircraft high-precision pose information and atmospheric environment detection information of air route air temperature in real time, and the airborne FMS obtains various programs manually set by a unit, a take-off and landing runway and unit intention information of an activated air route in real time. The flight path point time prediction center is located at the ground end, carries out real-time fusion processing on the information and constructs an aircraft situation field, and realizes distributed processing of multi-aircraft flight path prediction information.

Description

Technical Field

[0001] The present invention relates to the technical field of civil aviation airspace data processing, and in particular to a distributed path point time precision prediction device for a multi-aircraft-multi-station network. Background Art

[0002] As the number of civil aviation flights in my country continues to grow rapidly, the contradiction between air traffic flow and air traffic control support capabilities and airspace capacity has become increasingly prominent. How to promote safe and smooth air traffic and improve the utilization rate of national airspace resources is the focus of attention and development of the international civil aviation control industry at this stage.

[0003] The traditional path point time prediction method uses the flight plan and track prediction information to calculate the aircraft path position at each moment, while the track prediction of the control ground system generally adopts the historical flight experience time method or the aircraft performance model method: the historical flight experience time method calculates the experience flight time based on the historical radar track data of the flight, but does not consider the aircraft performance; the aircraft performance model method considers the aircraft performance characteristics and combines the aircraft situation, but does not consider atmospheric environmental factors such as wind temperature and aircraft intentions. The above methods only rely on aircraft track information, and do not consider influencing factors such as crew operating habits, aircraft flight intentions, and real-time route wind temperature. In actual flight, the changes in aircraft flight modes are closely related to the real-time status, resulting in large errors in the above methods. Summary of the invention

[0004] In order to overcome the defects of the prior art, the technical problem to be solved by the present invention is to provide a distributed path point time accurate prediction device with a multi-aircraft and multi-station network, which helps ground control personnel to predict the current route pressure, inbound and outbound flight volume, inbound and outbound flight delay information and flight volume trend in future time periods, thereby improving the efficiency of control work and realizing the sharing of flight status within the airspace.

[0005] The technical solution of the present invention is: this multi-aircraft-multi-station networked distributed path point time accurate prediction device comprises: an airborne mobile terminal, a flight information push system, and a path point time prediction center;

[0006] The flight information push system relies on a safe ground-to-air data link to achieve real-time collaborative sharing between the ground terminal and the aircraft terminal;

[0007] The airborne mobile terminal is located at the aircraft crew end, and realizes the

[0008] The onboard equipment of FMS, inertial navigation system, and atmospheric data processing system obtains the current flight plan, the estimated arrival time of the subsequent point calculated by FMS, the high-precision position information of the aircraft, and the atmospheric environment detection information of the route wind temperature in real time. The onboard FMS obtains the crew's intention information of various procedures, take-off and landing runways, and activated routes manually set by the crew in real time;

[0009] The path point time prediction center is located on the ground side. It uses a ground multi-station-ground-to-air data link base station network to obtain in real time the aircraft-side path point prediction, airborne atmospheric environment detection, airborne high-precision posture, crew intention, and airborne performance information transmitted by each aircraft based on safety-related ground-to-air data. The above information is integrated and processed in real time to construct an aircraft situation field, realizing distributed processing of multi-aircraft path prediction information.

[0010] The distributed path point time precision prediction device for multiple aircraft and multiple stations provided by the present invention has the following advantages compared with the prior art: the crew intention, high-precision aircraft posture information, real-time detection of atmospheric environment information by the aircraft, airborne performance parameters and "aircraft-side" path prediction information are transmitted in real time based on a safety-type ground-to-air data link, thereby realizing efficient ground-to-air collaborative sharing; based on the cloud-edge hybrid architecture, the airborne mobile terminal obtains the collaborative information uploaded by the control ground system based on the safety-type ground-to-air data link, and at the same time combines the crew intention, high-precision aircraft posture information, real-time detection of atmospheric environment information by the aircraft, and airborne performance parameters obtained and integrated in real time by the airborne interface device, thereby greatly reducing the pressure on the ground side and improving data processing efficiency; based on the cloud-edge hybrid architecture, the ground side constructs a track prediction model based on the speed profile information transmitted by "multiple aircraft" in the airspace, combined with the crew's preset performance limitations and route cost index, atmospheric environment detection data, crew intentions, etc., and combines various ground restriction information and ground-based meteorological detection information to greatly improve the path point prediction accuracy, improve the control work efficiency, and realize the sharing of flight situation in the airspace. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 It is a structural schematic diagram of a distributed path point time accurate prediction device for a multi-machine-multi-station network according to the present invention. DETAILED DESCRIPTION

[0012] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0013] In order to make the description of the present disclosure more detailed and complete, the following is an illustrative description of the implementation and specific embodiments of the present invention; however, this is not the only form of implementing or using the specific embodiments of the present invention. The implementation covers the features of multiple specific embodiments and the device steps and sequences used to construct and operate these specific embodiments. However, other specific embodiments can also be used to achieve the same or equivalent functions and step sequences.

[0014] like Figure 1As shown, this multi-aircraft-multi-station networked distributed path point time accurate prediction device includes: an airborne mobile terminal, a flight information push system, and a path point time prediction center;

[0015] The flight information push system relies on a safe ground-to-air data link to achieve real-time collaborative sharing between the ground terminal and the aircraft terminal;

[0016] The airborne mobile terminal is located at the aircraft crew end, and realizes the

[0017] The onboard equipment of FMS, inertial navigation system, and atmospheric data processing system obtains the current flight plan, the estimated arrival time of the subsequent point calculated by FMS, the high-precision position information of the aircraft, and the atmospheric environment detection information of the route wind temperature in real time. The onboard FMS obtains the crew's intention information of various procedures, take-off and landing runways, and activated routes manually set by the crew in real time;

[0018] The path point time prediction center is located on the ground side. It uses a ground multi-station-ground-to-air data link base station network to obtain in real time the aircraft-side path point prediction, airborne atmospheric environment detection, airborne high-precision posture, crew intention, and airborne performance information transmitted by each aircraft based on safety-related ground-to-air data. The above information is integrated and processed in real time to construct an aircraft situation field, realizing distributed processing of multi-aircraft path prediction information.

[0019] The distributed path point time precision prediction device for multiple aircraft and multiple stations provided by the present invention has the following advantages compared with the prior art: the crew intention, high-precision aircraft posture information, real-time detection of atmospheric environment information by the aircraft, airborne performance parameters and "aircraft-side" path prediction information are transmitted in real time based on a safety-type ground-to-air data link, thereby realizing efficient ground-to-air collaborative sharing; based on the cloud-edge hybrid architecture, the airborne mobile terminal obtains the collaborative information uploaded by the control ground system based on the safety-type ground-to-air data link, and at the same time combines the crew intention, high-precision aircraft posture information, real-time detection of atmospheric environment information by the aircraft, and airborne performance parameters obtained and integrated in real time by the airborne interface device, thereby greatly reducing the pressure on the ground side and improving data processing efficiency; based on the cloud-edge hybrid architecture, the ground side constructs a track prediction model based on the speed profile information transmitted by "multiple aircraft" in the airspace, combined with the crew's preset performance limitations and route cost index, atmospheric environment detection data, crew intentions, etc., and combines various ground restriction information and ground-based meteorological detection information to greatly improve the path point prediction accuracy, improve the control work efficiency, and realize the sharing of flight situation in the airspace.

[0020] Preferably, the flight information push system relies on the safety-type ground-to-air data link to realize the real-time transmission of high-precision position and posture of each aircraft in the airspace, atmospheric environment detection information, and aircraft-side path point prediction information, and at the same time realizes real-time upload of various control information based on the safety-type ground-to-air data link; a flight dynamic situation library is constructed based on the high-precision position and posture information of the aircraft transmitted in real time by the safety-type ground-to-air data link, and in combination with the flight plan, the control information comparison is realized by using the aircraft crew intention information transmitted by the data link, and at the same time, the intelligent selection of base stations is realized by relying on the networking base station information within the airspace coverage range, and the efficient and safe data delivery is realized by using the safety-type ground-to-air data link.

[0021] Preferably, the airborne mobile terminal constructs an aircraft performance model in combination with information on aircraft performance parameters and airline cost index obtained by the airborne equipment; at the same time, in combination with high-precision posture information obtained by the airborne equipment and crew intention information obtained by the airborne equipment, and with reference to historical flight experience time, a path point prediction model is preliminarily constructed based on a linear hybrid model; on this basis, the atmospheric environment detection information of route wind temperature obtained by the airborne equipment is used to optimize the speed profile and correct the path point prediction model, so as to realize the aircraft-side path point prediction that combines the high-precision posture information, crew intention information, airborne detection atmospheric environment information and aircraft performance obtained in real time by the airborne end.

[0022] Preferably, the airborne mobile terminal's end-side waypoint prediction results will be transmitted to the control ground system in real time based on the safety-type ground-to-air data link. At the same time, various types of collaborative information uploaded by the control ground system will be obtained in real time based on the safety-type ground-to-air data link. The above information is integrated into the waypoint prediction model to realize ground-to-air collaborative sharing.

[0023] Preferably, the path point time prediction center combines various ground restriction information and ground-based meteorological information to realize the prediction of aircraft operation status in the airspace and the assessment of the traffic capacity of hot spots in the airspace. At the same time, based on the assessment results, it automatically generates various collaborative information for aircraft speed adjustment suggestions, and pushes them to designated aircraft on demand based on the safety-type ground-to-air data link, so as to realize air-ground sharing, improve the work efficiency of air traffic control departments, and improve the quality of passenger services.

[0024] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any simple modification, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention are still within the protection scope of the technical solution of the present invention.

Claims

1. A distributed accurate prediction device for path point time in a multi-machine-multi-station network, characterized by: It includes: Airborne mobile terminal, flight information push system, and path point time prediction center; the flight information push system relies on a safety-type ground-to-air data link to achieve real-time collaborative sharing between the ground terminal and the aircraft terminal; The airborne mobile terminal is located at the aircraft crew end, and the airborne equipment of the airborne FMS, inertial navigation system, and atmospheric data processing system can obtain the current flight plan, the estimated arrival time of the subsequent point calculated by the FMS, the high-precision posture information of the aircraft, and the atmospheric environment detection information of the route wind temperature in real time based on the airborne interface equipment. The airborne FMS can obtain the crew intention information of various procedures manually set by the crew, take-off and landing runways, and activated routes in real time; The path point time prediction center is located on the ground side. It uses a ground multi-station-ground-to-air data link base station network to obtain in real time the aircraft-side path point prediction, airborne atmospheric environment detection, airborne high-precision posture, crew intention, and airborne performance information transmitted by each aircraft based on safety-related ground-to-air data. The above information is integrated and processed in real time to construct an aircraft situation field, realizing distributed processing of multi-aircraft path prediction information.

2. The distributed accurate prediction device for path point time in a multi-machine-multi-station network according to claim 1 is characterized by: The flight information push system relies on the safety-type ground-to-air data link to realize the real-time transmission of high-precision position and posture of each aircraft in the airspace, atmospheric environment detection information, and aircraft-side path point prediction information, and at the same time realizes the real-time upload of various control information based on the safety-type ground-to-air data link; a flight dynamic situation library is constructed based on the high-precision position and posture information of the aircraft transmitted in real time by the safety-type ground-to-air data link, and in combination with the flight plan, the control information comparison is realized by using the aircraft crew intention information transmitted by the data link, and at the same time, the intelligent selection of base stations is realized by relying on the networking base station information within the airspace coverage range, and the efficient and safe data delivery is realized by using the safety-type ground-to-air data link.

3. The distributed accurate prediction device for path point time in a multi-machine-multi-station network according to claim 2 is characterized by: The airborne mobile terminal constructs an aircraft performance model by combining information on aircraft performance parameters and airline cost index obtained by the airborne equipment; at the same time, it combines high-precision posture information obtained by the airborne equipment and crew intention information obtained by the airborne equipment, and refers to historical flight experience time to preliminarily construct a path point prediction model based on a linear hybrid model; on this basis, the atmospheric environment detection information of the route wind temperature obtained by the airborne equipment is used to optimize the speed profile and correct the path point prediction model, so as to realize the aircraft-side path point prediction that combines the high-precision posture information, crew intention information, airborne detection atmospheric environment information and aircraft performance obtained in real time by the airborne end.

4. The distributed accurate prediction device for path point time in a multi-machine-multi-station network according to claim 3 is characterized by: The airborne mobile terminal's flight path point prediction results will be transmitted to the control ground system in real time based on the safety ground-to-air data link. At the same time, various types of collaborative information uploaded by the control ground system will be obtained in real time based on the safety ground-to-air data link. The above information is integrated into the flight path point prediction model to achieve ground-to-air collaborative sharing.

5. The distributed accurate prediction device for path point time in a multi-machine-multi-station network according to claim 4 is characterized by: The path point time prediction center combines various ground restriction information and ground-based meteorological information to predict the aircraft operation status in the airspace and evaluate the traffic capacity of hot spots in the airspace. At the same time, based on the evaluation results, it automatically generates various collaborative information for aircraft speed adjustment suggestions, and pushes them to designated aircraft on demand based on the safety ground-to-air data link, thereby realizing air-ground sharing, improving the work efficiency of air traffic control departments, and improving the quality of passenger services.

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