747 results about "Runway" patented technology

The invention belongs to the technical field of air traffic management, and relates to a flight time adjustment management method and system in a special scene. According to the method, the flight release priority sequence is constructed, the airport taxiway network topology and the dynamic limitation information are combined, the taxiing path is planned, the space-time conflict is detected, and the dynamic adjustment of flight ground operation and the coordination verification of the runway access time window are realized. The problems of frequent flight ground taxiing path conflicts, low scheduling efficiency and difficulty in accurate take-off time control in special scenes are solved, the safety and efficiency of airport ground operation are effectively improved, the flight taxiing time and the runway waiting time are reduced, the flight release sorting and the runway use plan are optimized, and the flight taxiing efficiency is improved. The flight scheduling cooperation capability in a complex operation environment is enhanced, and the orderliness and stability of flight operation are guaranteed.

The invention relates to the technical field of flight management, in particular to a flight departure guarantee resource allocation scheduling optimization management method, which comprises the following steps: according to a runway, a running sequence and a time interval corresponding to a flight shift list, constructing a flight state diagram for the flight shift list in a preorder and postorder manner; determining the transfer cost of each state in the flight state transfer process by taking the maximum capacity and the minimum adjustment time interval of each node in the flight state diagram in a unit time period as constraint conditions, and sequencing the flights into a time-adjusted flight list according to the transfer cost; performing iterative solution by using the timing flight list, determining an optimal adjustment time interval in unit time, and determining an adjustment quantity in a unit time period according to the adjustment time interval in combination with time slot allocation; when the adjustment quantity accords with a preset constraint rule, performing data combination on the corresponding flights, and regarding the combined data as an output adjustment scheme; the efficiency and the performability of flight scheduling processing are realized.

The invention relates to the technical field of airport safety monitoring, in particular to an airport runway intrusion identification method based on an ESNB algorithm, and the method comprises the steps: constructing an airport runway intrusion data set; the method comprises the following steps: constructing an improved Inception U-Net network, and obtaining a teacher network based on the improved Inception U-Net network; based on the teacher network, obtaining an optimal student network through a multi-objective evolutionary algorithm; based on the teacher network and the airport runway intrusion data set, performing knowledge distillation on the optimal student network to obtain an ESNB network; according to the scheme, the ESNB network is deployed in an airport and is used for airport runway intrusion recognition, and the problems that existing airport runway intrusion recognition is low in efficiency and high in computing power requirement can be effectively solved.

The invention relates to an airport operation guarantee capability evaluation and analysis method, which belongs to the field of airport operation and maintenance, and comprises the following steps: intelligently predicting the number of entering airplanes and the number of entering and exiting passenger flows of a target airport in a future time interval by using an airport operation and maintenance analysis model; sending a runway increase request when the number of entering aircrafts exceeds the aircraft capacity threshold value of the target airport in the future time interval, and sending a passenger flow overrun signal when the number of entering and exiting passenger flows is larger than the upper limit of the number of entering and exiting passenger flows of the target airport in the set interval duration. The invention also relates to an airport operation guarantee capability evaluation and analysis system. According to the invention, in order to solve the technical problem that it is difficult to consider time-sharing passenger transport demand meeting and airport operation and maintenance resource saving in the prior art, the airport operation and maintenance analysis model is introduced to predict the number of entering airplanes and the number of entering and exiting passenger flows of the target airport in the future time interval; and executing airport operation guarantee capability evaluation analysis and airport operation and maintenance resource dynamic adjustment, thereby solving the technical problems.

The invention discloses a multi-channel runway micro-ring modulator capable of adjusting coupling efficiency, and the modulator comprises a runway micro-ring resonant cavity which comprises a straight waveguide section and a bent section and is used for achieving the resonance of an optical signal; the Mach-Zehnder modulation structure is integrated with the micro-ring resonant cavity and is used for adjusting the equivalent coupling coefficient of the micro-ring and the main waveguide; wherein the Mach-Zehnder modulation structure comprises a coupler, a mode converter and a modulation arm. And the modulator is also provided with a heater. According to the scheme, the coupling coefficient of the micro-ring resonant cavity and the main waveguide is adjusted through the Mach-Zehnder modulation structure, the limitation of the photon lifetime of the micro-ring resonant cavity on the modulation rate is overcome, and the restrictive relationship between the bandwidth and the modulation efficiency is broken. Compared with an existing micro-ring modulator, the micro-ring modulator can still have the high-speed modulation capacity in a high-quality-factor micro-ring resonant cavity. Meanwhile, through the design of the waveguide in the Mach-Zehnder interference region, the length of the modulation region is increased while the area of the device is not increased.

The invention relates to an airport runway foreign matter intelligent identification method based on multi-modal data dynamic fusion, and the method comprises the following steps: obtaining a radar and visual data object, carrying out the parallel analysis to generate a first feature model and a second feature model which represent the material and form of a foreign matter, and synchronously generating a first preliminary reliability index and a second preliminary reliability index; based on the consistency between the two feature models, performing cross adjustment on the initial reliability index to generate a final reliability index; and determining a dynamic fusion weight according to the final reliability index, carrying out weighted fusion on the feature model, and finally outputting an identification result based on the fused feature model. According to the method, cross-modal consistency verification and a dynamic weighted fusion mechanism are introduced, so that the problems of a single sensor in material distinguishing and small-size low-contrast target detection are solved, and the recognition accuracy of diversified foreign matters in a complex environment can be improved.

The invention belongs to the technical field of foreign matter detection and alarm, and discloses a vehicle-mounted multi-sensor fusion runway FOD detection and alarm device. Comprising a data acquisition module for acquiring radar data, visual data and infrared data, and performing space-time synchronization and coordinate calibration to obtain synchronous data; the feature analysis module is used for analyzing the synchronous data to obtain radar features, visual features and infrared features; the analysis and complementation module is used for detecting the radar features, the visual features and the infrared features to obtain combined features, and performing shielding detection and feature complementation on the combined features to obtain complemented features; constructing an FOD dynamic feature tree; the positioning alarm module is used for analyzing the FOD dynamic feature tree and making an FOD alarm decision according to an alarm triggering condition; according to the method, accurate detection and reliable alarm of the runway FOD are realized, the accuracy, robustness and practicability of FOD detection in a complex scene are remarkably improved, and the runway FOD safety management and control requirements in a vehicle-mounted scene are effectively met.

The invention provides a scene port entering and leaving aircraft joint optimization scheduling method. The method comprises the following steps: aiming at aircrafts which take off and land on a plurality of parallel runways in an airport, establishing a mixed integer programming model for a scene port entering and leaving aircraft IASP; setting a target function and a constraint condition of an IASTP problem by taking minimization of the total delay duration of the port entering and leaving aircrafts as a target; and based on the constraint conditions, solving a target function of the IASTP problem by adopting a heuristic algorithm based on VNS, and obtaining a comprehensive scheduling scheme of runway and sliding path distribution, take-off and landing sequence and time of the port entering and leaving aircraft. According to the method, actual operation constraints of various scenes are considered, runway distribution and sorting, taxiing path selection and taxiway scheduling of the port entering and leaving aircrafts, and a deducing sorting scheduling scheme of the port leaving aircrafts are planned and optimized as a whole, the take-off and landing delay time of the port entering and leaving aircrafts is shortened as much as possible, the hub airport operation efficiency is improved, and the airport landing time is shortened. And decision support is provided for efficient scheduling of aircrafts.

Combined aerospace system is a multi-stage technology to deliver payloads to orbit and to midair. The system comprises a carrier aircraft, a tow aircraft, a towed spaceplane or a rocket plane or a glider. The carrier aircraft, coupled with the spaceplane and / or the rocket plane or several gliders, takeoff from a runway and ascends to a staging altitude and speed under the carrier aircraft power. After staging, the tow aircraft will pick up the spaceplane or the rocket plane or the glider from the carrier aircraft in flight. The towed spaceplane or the rocket plane or the glider continues ascending and accelerating by the tow aircraft. The spaceplane or the rocket plane will disconnect from the tow aircraft and continue to ascend and accelerate in an atmosphere by using the ramjet engine. The spaceplane or the rocket plane equipped with a propulsion unit is used to place the spacecraft into the earth orbit. The glider will disconnect from the tow aircraft and lands in designated place. Gliders can be used for instantly delivering of correspondence, parcels, and civil goods from a supplier to wide variety of individual consumers or corporate customers.

The invention discloses a floating ring seal test device and a detection system, the device comprises a shell and a test part, the shell is internally provided with an accommodating cavity, the test part comprises a rotating shaft, two bearing parts and a test part, the rotating shaft is sleeved with the two bearing parts at intervals in the axial direction, and the test part is arranged between the two bearing parts; the rotating shaft penetrates through the containing cavity in the horizontal direction and is installed on the shell through two bearing pieces. The test piece is arranged in the containing cavity and comprises a sealing runway arranged on the rotating shaft in a sleeving mode and two floating ring pieces installed on the shell, the sealing runway comprises two annular protruding plates arranged at the two axial ends of the test piece respectively, and the two floating ring pieces and the two annular protruding plates are arranged in a one-to-one correspondence mode. The floating ring piece is used for performing non-contact sealing with the outer wall of the annular convex plate; and the two floating ring pieces, the sealing runway and the shell are enclosed to form a test cavity for introducing a test medium. Two floating ring pieces can be tested at the same time under the same working condition, the test efficiency is remarkably improved, and the failure risk of a test part is reduced.

The invention relates to the technical field of radar remote sensing monitoring, in particular to an airport runway seaworthiness intelligent evaluation method and system based on satellite-ground collaborative awareness, and the method comprises the steps: calculating the signal prominence intensity through the local saliency based on the SAR image pixel amplitude, and primarily screening highlight pixel points; a side lamp possibility index is constructed by combining double constraints of a straight line distribution rule and time sequence position reproducibility, and high-credibility side lamp pixel points are accurately identified from a low-signal-to-noise-ratio background; reversely positioning a runway pixel point area based on the matched parallel edge lamp fitting straight line; constructing a local deformation reference surface by taking an unwrapping phase of adjacent edge lamp pixel points as a benchmark, calculating the reliability of the runway and reconstructing a phase of an untrusted point, and generating a denoised image for airworthiness evaluation; according to the airport runway airworthiness evaluation method, the runway sidelight is used as a phase reference for time-space stability, the problem of phase incoherence caused by specular reflection in a flat runway area is effectively solved, and the accuracy and robustness of airport runway airworthiness evaluation are remarkably improved.

The invention discloses a rubber particle preparation method based on recycled tennis balls, an environment-friendly runway construction method and an environment-friendly runway, and belongs to the field of runway construction.The method comprises the following steps that Sa1, the recycled tennis balls with impurities removed are put into a smashing machine at a constant speed, and surface felt and a rubber inner core are smashed and separated through the smashing machine; sa2, disinfection and washing are carried out; sa3, separating the fibers from the rubber particles; sa4, naturally air-drying the fibers and the rubber particles; sa5, classifying and screening; and Sa6, classifying, sealing and storing. By the adoption of the rubber particle preparation method based on the recycled tennis balls, the environment-friendly runway construction method and the environment-friendly runway, vulcanized rubber resources in the waste tennis balls can be efficiently recycled, meanwhile, high-valued application of the resources is achieved through the following environment-friendly runway construction steps, and a complete technical closed loop of recycling, preparation and application is formed.

A craft is provided comprising: a propulsion system; a fuselage coupled with the propulsion system, wherein the fuselage is configured to carry a payload and fuel for the propulsion system; and a pre-assembled wing coupled with the fuselage; wherein the craft is designed to take-off without using a runway and does not have landing gear to land.

The invention discloses an SAR image runway semantic segmentation method based on an edge perception pulse neural network, and the method comprises the steps: inputting an SAR image of a runway into a trained SAR image runway semantic segmentation model, so as to enable the model to output a runway segmentation result; the model comprises a pulse U-shaped network model and an edge sensing module; the pulse U-shaped network model comprises an encoder and a decoder; the encoder is used for performing multi-level feature extraction on the SAR image to obtain feature maps of four stages; the edge sensing module is used for extracting edge features based on the feature maps of the second stage and the third stage to obtain edge features; the decoder is used for introducing an edge attention graph generated based on edge features in the decoding process according to the feature graph in the fourth stage to carry out edge perception guidance, and outputting a runway segmentation result, so that the SAR image runway semantic segmentation method which can accurately extract runway edge information and is low in reasoning power consumption and low in delay is provided.

The embodiment of the invention discloses an aircraft height measurement method based on binocular vision, and the method comprises the steps: obtaining internal parameters and distortion parameters of a first camera and a second camera, and obtaining a first image and a second image collected by the first camera and the second camera; calibrating the first image and the second image according to the internal reference and the distortion parameter of the first camera and the second camera to obtain a first calibration image and a second calibration image; binocular matching is carried out on the first calibration image and the second calibration image, and a full-image disparity map is obtained based on the first calibration image; performing airport runway semantic segmentation based on the first calibration image to obtain a semantic segmentation map of the airport runway; performing 3D coordinate reduction operation on the 2D pixels according to the full-image disparity map and the semantic segmentation map to obtain a 3D point cloud of the airport runway; fitting a runway plane equation according to the 3D point cloud, converting the runway plane equation to an airframe coordinate system according to the relative position of the first camera and the airframe, and obtaining an aircraft height measurement result according to the runway plane equation under the airframe coordinate system.

The invention discloses an airport runway foreign matter detection method based on a YOLO11 optimization network, and belongs to the technical field of target detection in computer vision and deep learning. The problems that detection challenges of multi-scale foreign matter features and complex background textures exist when a traditional detection model is used for detecting airfield runway foreign matter, the multi-scale features of millimeter-level bolts and centimeter-level gravel coexist easily cause missing detection, and the texture similarity of metal pieces and runway asphalt further reduces the detection precision are solved. According to the airport runway foreign matter detection network structure based on the YOLO11 optimization network and the detection method, the real-time image of a vehicle-mounted line-scan digital camera is obtained, and the FOD appearing in the image is detected.

The invention provides a scene and terminal area port entering and leaving aircraft joint optimization scheduling method. The IASTP problem is put forward for the first time based on the air-ground integration idea and the terminal area operation characteristics, the scheduling range is expanded from the scene to the terminal area, the entrance starts from the entrance corridor opening, and the departure ends at the departure corridor opening, a terminal area-scene-runway whole process system is formed, and meanwhile space-time coupling of the entrance and departure traffic flow in the runway and scene sliding network is considered. And with minimization of the total delay duration of the aircraft and the total track length of the terminal area as double targets, setting a target function and a constraint condition, solving by adopting an improved NSGA-II algorithm fused with local search, and finally obtaining an optimal distribution scheme of an air route, a runway and a taxiway to realize full-process efficient scheduling.

The invention provides a drilling fluid flow monitoring device and method suitable for a mud runway, relates to the field of petroleum drilling ground testing instruments, and solves the problem that an existing monitoring method is low in overflow prediction precision and cannot find overflow in time. The device comprises a flow measuring unit (1), and the left side and the right side of the flow measuring unit (1) are connected with a flow guide unit (2) and a flow blocking unit (4) through flange plates respectively. The upper part of the diversion unit (2) is connected with the video monitoring unit (3); the flow measuring unit (1) is an electromagnetic flowmeter and is used for measuring the outlet displacement; the flow guide unit (2) is used for guiding drilling fluid to flow to the flow meter; and the flow choking unit (4) is used for controlling stable flow of the drilling fluid. According to the drilling fluid flow monitoring device suitable for the mud runway, real-time accurate monitoring of the flow of a drilling fluid outlet can be achieved, then monitoring of overflow and leakage of the drilling fluid is achieved, and well control safety is ensured.

A system and method for achieving a high confidence threshold when asserting that the runway is clear of obstacles. A landing aircraft periodically scans runway regions to confirm, track, and propagate trajectories of self-reporting and non-cooperative objects. An incurring object, appearing as a very tiny artifact, is unlikely to be detected in every sensor frame. The system and method propagate the trajectories of the incurring objects to confirm that the objects will clear the runway before the aircraft lands by tracking the objects and using a probabilistic decision maker.

The invention discloses an ice and snow airport runway flatness measuring system and method based on point cloud, and the system comprises an unmanned plane platform which is used for carrying a data collection module; the data acquisition module is used for synchronously acquiring a runway binocular image and sparse LiDAR point cloud data; the image-to-point cloud module is used for converting the binocular image into dense visual point cloud based on an improved MonSter algorithm; the point cloud fusion module is used for carrying out registration and fusion on the sparse LiDAR point cloud and the dense visual point cloud to generate three-dimensional point cloud data; the data processing module is used for processing the fused three-dimensional point cloud data; and the flatness analysis module is used for calculating an international roughness index and a flatness index of the runway based on the processed three-dimensional point cloud data, and performing automatic evaluation and visual display. The method has stability and measurement precision in a low-temperature, high-reflection and snow-ice covering environment, and quantitative basis and scientific decision support are provided for snow-ice airport runway maintenance.

The application discloses an airport runway FOD identification method, system and product based on runway bidirectional feature fusion in the field of airport runway FOD identification, and the method comprises the following steps: S100, a plurality of groups of FOD monitoring camera groups composed of two FOD monitoring cameras are arranged at equal intervals along the length direction of the airport runway; S200, the field of view area of the FOD monitoring camera is calibrated; S300, the weight parameter of the overlapping field of view area is configured; S400, the shooting image of the FOD monitoring camera is acquired in real time, the near-field field of view area is directly input into the FOD identification model, the feature map is output for FOD identification, the area belonging to the far-field field of view area in the overlapping field of view area is input into the FOD identification model based on the weight parameter, and the weighted feature map is output for FOD identification after feature fusion; and S500, the FOD alarm signal is output based on the FOD identification result. The application can significantly improve the accuracy and reliability of the airport runway FOD identification.

The present application belongs to the field of aviation ground test technology, and provides a rotorcraft take-off safety diagnosis and lift measurement device, which comprises a main take-off platform, a force balance, a vibration acceleration sensor, an information acquisition system and a computer loaded with a weight gravity center calculation program and a rotor dynamic balance program, wherein the main take-off platform is flush with the runway as a rigid take-off platform of the rotorcraft, a frame balance structure is fixedly connected below the main take-off platform and a force balance capable of measuring force in the circumferential direction is arranged below the main take-off platform, a vibration acceleration sensor is arranged on the lower surface of the main take-off platform, a strain gauge is arranged on each force bar of the force balance, the information acquisition system acquires data of the vibration acceleration sensor and the strain gauge and sends the data to the computer for calculation of the weight gravity center and rotor dynamic balance of the rotorcraft. The device can automatically measure the weight gravity center of the rotorcraft, and can accurately evaluate the weight gravity center and rotor dynamic balance level before take-off after the rotorcraft is normally started.

A kind of wheel holding device of aircraft tractor, it includes: car body, pedestal turntable, load floor, hydraulic cylinder group, clamping push plate, rotating motor and front pressing plate;Pedestal turntable, load floor, hydraulic cylinder group, clamping push plate, rotating motor and front pressing plate are all installed on car body.The wheel holding device of aircraft tractor provided by the present application has the advantages that: the wheel holding device does not need engine power, and moves by external ground power from the exit of the aircraft to the end of the runway waiting for takeoff, and the pilot controls the tractor to carry out departure operation, with the advantages of simple operation, safety, stable work, long service life, high lifting height, wide application range, etc.

This invention provides a method for detecting adhesive buildup on the surface of a running track, comprising: acquiring an HSV image corresponding to the running track to be tested; performing a first image processing on the HSV image to obtain a first intermediate image identifying a feature region; the feature region consisting of undifferentiated adhesive buildup areas and interference areas; performing a second image processing on the HSV image to obtain a second intermediate image identifying interference areas; and determining the target information of the adhesive buildup on the surface of the running track to be tested based on the first and second intermediate images. A running track surface adhesive buildup detection device, a computer device, and a storage medium are also provided. Using the HSV color model, and through relevant image processing on the HSV image, the target information of the adhesive buildup on the surface of the running track to be tested is finally determined; compared with manual visual inspection, this method can greatly improve detection efficiency, reduce labor costs, and accurately determine the target information such as the area of ​​the adhesive buildup on the surface.

The invention relates to the technical field of aero-engine gas flow path sealing, and discloses a labyrinth type multi-stage brush type sealing device which comprises a rotor runway and a multi-stage brush type sealing structure. The rotor runway comprises a plurality of convex parts and a plurality of concave parts, and the convex parts and the concave parts are sequentially and alternately connected in the first direction to form a concave-convex structure; the multi-stage brush type sealing structure comprises a plurality of brush type sealing units, part of the brush type sealing units abut against the protruding parts, and part of the brush type sealing units abut against the concave parts. The multi-stage brush type sealing is arranged, so that the pressure resistance of the sealing device is improved; and meanwhile, the rotor runway forms a concave-convex structure through sequentially and alternately connecting a plurality of convex parts and a plurality of concave parts, and is matched with a multi-stage brush type sealing structure to form a labyrinth sealing effect, so that double sealing is formed, a leakage flow path is increased, leakage energy loss is effectively increased, the leakage amount is greatly reduced, and the sealing performance of the whole device is improved.

A method for assisting an aircraft in landing on a runway and an associated system includes determining a target exit point from the runway and a target taxi speed at which the aircraft has to take the target exit; calculating a target ground distance representative of a ground deceleration phase; and calculating the position of a target touchdown point on the basis of the target ground distance. The target ground distance is calculated as a function of a target deceleration profile for the aircraft to reach the target exit point at the target taxi speed.

The bird strike prevention system for an airport according to the present invention comprises: a bird detection radar for detecting birds; the unmanned aerial vehicle flies to the birds and expels the birds; the control part receives information of the bird detection radar and transmits a bird repelling instruction to the unmanned aerial vehicle, the control part determines a defensive area in landing areas in front of and behind a runway, and the bird detection radar is used for detecting whether birds exist in the defensive area or not. Therefore, birds in an airport can be detected through the bird detection radar, and risks possibly caused by the birds can be prevented through the unmanned aerial vehicle which flies to the detected birds and expels the birds.

The application discloses a kind of airport runway layered transition multi-objective paving strategy generation and execution monitoring method, it is related to data processing and analysis technical field. Including the following steps: step one, constructs airport runway basic data and generates the paving task unit with structural layer number, spatial position and temperature constructable time interval;Step two, based on double-layer evolution constraint fusion time space temperature locking algorithm, generates the airport runway layered transition multi-objective paving strategy containing each paving task unit start time, end time and execution equipment on time space network;Step three, based on model predictive control in construction process, the execution monitoring and local time sequence recalculation of airport runway layered transition multi-objective paving strategy are carried out.The application makes airport runway layered transition construction can maintain construction quality stable in complex environment such as meteorological change, discharging rhythm fluctuation and equipment disturbance, and construction organization efficiency is significantly improved.

The utility model relates to the technical field of airplane emergency rescue traction, in particular to an emergency runway separation device which comprises a hydraulic lifting device used for jacking airplane wheels and a trailer used for placing the airplane wheels, the hydraulic lifting device comprises an oil tank, a multi-stage hydraulic cylinder is installed at one end of the oil tank, a jacking head screw is installed on the multi-stage hydraulic cylinder, and the trailer is connected with the hydraulic lifting device. A hydraulic pump is installed at the other end of the oil tank, a low-pressure piston rocker and a high-pressure piston rocker are installed on the hydraulic pump, and handle temporary placing rods and inserting rods are installed on the two sides of the hydraulic pump; the trailer comprises a tire placing plate, and a front universal wheel is installed at one end of the tire placing plate. According to the device, the multi-stage hydraulic jack is adopted to quickly jack up the airplane wheels, the trailer can be conveniently placed below the airplane wheels, the airplane can slowly descend through the multi-stage hydraulic jack so that the airplane wheels can be placed on the trailer, and the airplane can be conveniently dragged and moved through the trailer.

This invention provides a laser adhesive removal device and method for airport runways, belonging to the field of airport runway adhesive removal technology. It includes an intelligent vehicle and a laser cleaning device. The laser cleaning device includes laser galvanometers, with at least two galvanometers. Multiple laser galvanometers are connected to the bottom of the intelligent vehicle and arranged perpendicular to the vehicle's forward direction. By arranging multiple laser galvanometers perpendicular to the forward direction, the width of a single operation is extended to the full width of the intelligent vehicle. Compared to single-head cleaning equipment, the efficiency is increased several times. Furthermore, by using lasers for adhesive removal, the entire process requires no chemical solvents or corrosive reagents, fundamentally avoiding chemical residues, environmental pollution, and potential damage to the runway structure.