1249 results about "Runway" patented technology

A display system of an aircraft includes a display device defining a display area, a vision system for generating an image of an operating environment of the aircraft on the display area, data processors operatively coupled to the display device and the vision system, and non-transitory machine-readable memory operatively coupled to the one or more data processors and storing instructions executable by the one or more processors and configured to cause the one or more processors to, when a condition of the aircraft is met, cause an alteration of a display of flight information on the display area to declutter a cutout region in the image generated by the vision system, the cutout region devoid of imaging generated by the vision system and displaying an Approach Lighting System (ALS) of a runway of intended landing for the aircraft.

The invention provides an automatic pavement settlement monitoring method and system based on a shield undercrossing airport runway. The dynamic database is constructed by collecting operation parameters such as shield tunneling machine propelling pressure, cutterhead torque and synchronous grouting pressure in real time and combining three-dimensional deformation data obtained through laser scanning. Strain sensing units are arranged in the soil layers to form a layered monitoring network, strain changes of the soil layers of different depths are collected, and spatial correlation is established between the strain changes and the tunneling position. And analyzing a spatial attenuation rule through a dynamic association processing unit, and generating a multi-dimensional feature data set. And establishing a settlement prediction model, fusing the shield dynamic load sequence and the layered strain conduction characteristics, and outputting settlement distribution information. And the system automatically compares the settlement difference value of the adjacent areas with a preset safety threshold value, and generates a graded early warning signal after verification of the three-dimensional deformation data space. According to the technical scheme provided by the invention, real-time three-dimensional prediction and spatial verification type graded early warning of settlement of the airport runway are realized.

The invention discloses a fixed dual-runway FOD detection method based on multi-source circumferential scanning, and belongs to the technical field of data fusion detection, and the method specifically comprises the steps: synchronously obtaining dual-runway multi-polarization echo data through a fixed circumferential scanning rada; performing time-varying clutter suppression by combining an adaptive clutter cancellation method matched with a dynamic background template and a runway material feature library, and generating a time-frequency domain three-dimensional feature matrix through time-frequency analysis; synchronously collecting and preprocessing image data, and marking a target area through a constant false alarm rate algorithm and image detection; a multi-source data geographic coordinate mapping model is established, data registration and cross validation are completed under a runway physical coordinate system, and real-time tracking of a real FOD target is realized based on radar and image fusion data through multi-dimensional confirmation of radar polarization / micro-motion features and image visual features; according to the method, the FOD detection accuracy and the position identification precision are improved through multi-source data fusion, the false alarm rate is effectively reduced, and a guarantee is provided for safe operation of an airport.

The invention provides a multi-scale cross-space learning general aviation aircraft landing runway detection method, and relates to the technical field of computer vision. The method comprises the following steps: firstly, collecting a runway image data set when a general aviation aircraft lands, preprocessing the data set, and dividing the data set into a training set and a test set; then, an AES-YOLOv8 network model for detecting a multi-scale runway target is constructed; the model is based on a YOLOv8s network of multi-scale cross-space learning, and a Backbone network comprises a plurality of improved lightweight channel attention convolution modules LA-AKConv; an EMA attention mechanism is introduced after a spatial pyramid pooling module SPPF of the Backbone network; the Neck network comprises a plurality of C2fSCConv modules fused by C2f and a space and channel reconstruction convolution module SCConv; and the AES-YOLOv8 network model is trained based on the preprocessed data set to obtain a multi-scale cross-space learning airport runway detection model, and the runway state of the general aviation aircraft during landing is detected in real time through the multi-scale cross-space learning airport runway detection model.

The invention provides an aircraft landing stage short-time abnormal risk early warning and visual simulation adaptive method based on deep learning, and the method comprises the following steps: synchronizing a multi-source sensor signal, separating the multi-source sensor signal into an impact channel, a wind shear channel and a residual channel, and mapping the multi-source sensor signal into aircraft-runway-wind field graph node features; features are extracted through a space-time diagram convolutional network, and a future trajectory is predicted in combination with a dual-channel attention decoder under physical constraints such as an energy attenuation template; high-risk actions are rapidly inhibited on the basis of real-time risks, the risk probability is calculated through weighted submerged space sampling, graded alarms are output, meanwhile, the alarms drive visual simulation to be adaptively updated, and model online safety iteration is achieved through hard sample mining after landing. According to the method, physical driving modeling, space-time fusion perception and probabilistic risk assessment are adopted, the dependence of a traditional method on an empirical threshold value is overcome, and the early warning precision, the confidence coefficient and the landing safety are remarkably improved.

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 airport safety guarantee, and particularly discloses an airport bird situation monitoring and early warning bird repelling equipment linkage control method comprising the following steps: obtaining bird situation data vectors collected by sensors, calculating fused bird situation data vectors, and obtaining bird flock information; constructing a bird situation risk assessment model based on machine learning, combining the fused bird situation data with an aircraft take-off and landing plan, a runway use state and airport surrounding environment information to form an input feature vector, calculating a risk value through a risk assessment function, and dividing risk levels according to the risk value; according to a risk grade result of the risk assessment module, corresponding bird repelling equipment is controlled to work according to a hierarchical linkage bird repelling strategy; and in the bird repelling process, the risk level is re-evaluated according to the new bird situation data, the parameters of the bird repelling equipment are adjusted, and the bird repelling strategy is optimized by using a reinforcement learning algorithm. According to the invention, the defects of monitoring range and precision of a single sensor are effectively overcome, and the reliability of bird monitoring is greatly improved.

The invention discloses a departure peak period-oriented flight driving and taking-off collaborative optimization method, which comprises the following steps of: firstly, accurately identifying an optimal release control rate based on historical flight data, secondly, improving the sliding time prediction accuracy by utilizing integrated learning, and then, establishing a departure flight collaborative scheduling model according to an actual operation rule so as to realize the departure flight collaborative scheduling. And establishing a conflict mechanism to set flight priorities. A solving algorithm adopts a hybrid algorithm combining a genetic algorithm and tabu search, effective combination of global search and local search is ensured, and falling into a local optimal trap is avoided. The scheduling scheme covers key indexes such as runway throughput and average taxiing time, the airport scene congestion condition is relieved, the operation efficiency and safety of an airport in the departure peak period are improved, flight delay is reduced, and the utilization rate of runway time slot resources is increased.

The invention discloses a novel concrete pavement hardness detection device, and belongs to the technical field of detection. The invention discloses a novel concrete pavement hardness detection device, and belongs to the technical field of road engineering detection. The device comprises a springback tester, an ultrasonic tester and an analysis system, and equipment credibility parameters are generated through a springback confidence model (quantitative impact energy / angular deviation) and an ultrasonic confidence model (quantitative frequency / probe centering error); combining a pavement characteristic model (analyzing water content / temperature / steel bar density) to output an environment adaptation coefficient; further dynamically calculating a springback risk coefficient and an ultrasonic risk coefficient based on a risk model (fused vibration / carbonization depth); and finally, outputting a calibration intensity value through the intensity correction model. The method solves the defects of weak anti-interference capability and insufficient precision of a traditional method, effectively improves the detection efficiency, and is suitable for high-precision scenes such as expressways and airport runways.

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 discloses a lightweight segmentation method, device and equipment for a low-visibility runway of a plateau airport and a medium, and relates to the field of airport runway image segmentation. The method comprises the following steps: constructing a plateau region airport runway image data set under extreme climate; a YOLOv8n-seg model is used as a reference model, a StarNet network is used as a trunk module in the YOLOv8n-seg model, a gating channel local attention mechanism is fused before down-sampling operation of the YOLOv8n-seg model, a high-frequency feature fusion segmentation head is used as a head network of the YOLOv8n-seg model, and a lightweight Tibetan area airport runway segmentation model is obtained; and training the model by using a plateau region airport runway image data set, and segmenting the airport runway by using the lightweight Tibetan region airport runway segmentation model. According to the method, the adaptability to extreme scenes can be improved, and efficient and high-precision segmentation of the plateau airport runway under the extreme climate is 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 belongs to the technical field of airport light layout, particularly relates to an airport light generation method based on an AIP document and image data, and aims to solve the problems that layout and attribute configuration are wrong and airport light requirements are difficult to meet due to fixed setting and manual planning of a traditional light system. According to the method, the geometric attributes and the spatial relationship of the runway / taxiway are extracted by analyzing the AIP text, and the satellite image and the GIS data are aligned to obtain accurate image data; carrying out standardization, feature matching and fusion superposition on the two types of data to generate a runway and taxiway layout map; according to the layout map and the rule base, grid sampling is combined with self-adaptive processing to obtain airport lamp positions; a cognitive rule and a multi-target model are constructed, target attributes are solved by using an MOPSO algorithm, and actual attributes are controlled in cooperation with an enhanced Hi-IDRL algorithm. According to the invention, layout and attribute dynamic optimization is realized, and diversified light simulation requirements of the airport are met.

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 the technical field of batteries, and discloses a battery cell cover plate assembly, a battery cell and a battery pack, the battery cell cover plate assembly comprises a cover plate body, a pole column body and a pole column bottom plate; the pole body comprises a main body and a connecting body which are connected with each other, and orthographic projections of the main body and the connecting body along a first direction are runway-shaped; a runway hole is formed in the pole bottom plate, the connector penetrates through the runway hole and is welded with the pole bottom plate, the section of the runway hole comprises two straight line sections and two arc sections, the two straight line sections are oppositely arranged at intervals in the width direction of the cover plate body, and the two arc sections are oppositely arranged at intervals in the length direction of the cover plate body; the size of the arc section in the width direction of the cover plate body is L2, the size of the pole bottom plate in the width direction of the cover plate body is L4, and L2 / L4 is larger than or equal to 0.25 and smaller than or equal to 0.5. The welding quality between the pole body and the pole bottom plate can be improved by controlling the size of the runway hole in the pole bottom plate to be within a proper range.

The invention relates to the technical field of FOD detection, in particular to a vehicle-mounted FOD dynamic detection and positioning method based on an airport runway, and provides the following scheme: the method generates a target image through target data collected by vehicle-mounted equipment, extracts distortion segments in the target image and constructs a dynamic feature tree; in combination with vehicle motion parameters and scanning visual angle information, temporary child nodes are generated under feature nodes, temporary branches are established through structural simulation, dynamic splicing and closed-loop judgment of a foreign matter structure are achieved, and finally a detection result and a spatial position of an FOD are output. According to the method, the recognition accuracy and the positioning robustness of the foreign object target in the distorted form in the image are improved.

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.

The invention discloses a method and a system for evaluating the toughness of an oversized-diameter shield undercrossing airport runway based on a differential settlement and dynamic settlement rule, terminal equipment and a medium, and relates to the technical field of shield engineering. The method comprises the following steps: acquiring engineering information and post-construction settlement and post-construction differential settlement control standards; constructing a three-dimensional finite element model which comprises a plurality of simulation working conditions and a plurality of key characteristic sections and reflects interaction of soil and a structure; simulating sequential tunneling of the shield, obtaining dynamic settlement data and a final settlement value, and calculating a differential settlement amount; substituting the dynamic settlement data into the toughness performance function to obtain a dynamic toughness value and an evolution curve; and calculating a final-state toughness index based on the dynamic toughness value, and judging the toughness grade in combination with a control standard and a preset grade division standard. According to the method, dynamic and final-state quantitative evaluation and grade judgment of runway toughness are realized, a structural performance attenuation rule is clarified, and a scientific basis is provided for construction control optimization and engineering decision.

The invention provides an automatic aircraft landing method based on multi-modal image recognition, and relates to the technical field of aviation navigation and automatic control, and the method comprises the steps: fusing optical, infrared and millimeter wave radar data through a multi-modal sensor, and carrying out the preprocessing to generate a fused image sequence; detecting a runway, an obstacle and a meteorological entity based on an improved YOLOv8 model, and extracting an environment dynamic adaptation factor (EDAF) and a multi-modal fusion confidence coefficient (MFC); predicting and controlling an MPC path planning weight by combining a flight state data dynamic optimization model, and generating a landing instruction; the flight attitude is adjusted in real time by using a redundant PID controller, and control parameters are dynamically corrected through an EDAF; continuously monitoring the system state, and triggering emergency operation based on the decision tree model. Through multi-modal sensing fusion, dynamic parameter optimization and an intelligent emergency mechanism, the problems of low reliability, control parameter staticization and emergency delay of a single sensor are solved, and the landing precision, stability and safety in a complex environment are remarkably improved.

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 belongs to the field of analog simulation, and particularly relates to a runway dynamic friction coefficient real-time simulation method, system and equipment based on multi-source data. The problem that taxiing simulation is insufficient in authenticity is solved. The method comprises the following steps: acquiring runway surface temperature data, accumulated water depth and / or accumulated snow depth; judging a runway type based on the runway texture features, matching a basic friction coefficient according to the runway type, and dynamically correcting the basic friction coefficient in combination with the accumulated water depth and / or accumulated snow depth and runway surface temperature data to obtain a corrected friction coefficient; acquiring a tire vertical load, an initial sideslip angle and tire pressure data of the aircraft, calculating a tire lateral force, and calculating a final friction coefficient in combination with the updated sideslip angle, the corrected friction coefficient and the sideslip attenuation coefficient; and inputting the data into a ground taxiing model of the flight simulator to realize real-time simulation. Through the attenuation effect of the dynamic process on the friction coefficient, the simulation result better fits the real runway state.

The invention discloses an airport runway friction coefficient detection method based on a close-range camera technology. The method comprises the following steps: manufacturing a remote control trolley; setting driving parameters of the remote control trolley and camera shooting parameters of the high-definition camera; driving the remote control trolley to run on the detected road section, and acquiring road surface images or videos; the method comprises the following steps: firstly performing coordinate conversion on a plurality of obtained pavement images at different shooting angles in the same time period to obtain a pavement three-dimensional coordinate image of the road section, and then preprocessing the obtained three-dimensional coordinate image; performing image feature extraction on the preprocessed image to generate a pavement image texture model, importing the generated image texture model into Matlab, and performing three-dimensional texture reconstruction of pavement surface texture based on a triangular network model to obtain a three-dimensional model of the airfield pavement; and calculating friction coefficients of different positions of the road surface according to the three-dimensional data of the road surface in the three-dimensional model through a neural network algorithm.

The invention relates to the technical field of airport runway detection and maintenance, in particular to a runway long wave unevenness resonance fragmentation fragmentation particle size measurement method, which comprises the following steps: carrying out unevenness evaluation based on airport runway three-dimensional elevation data, and collecting a fragmentation gray level image after airport runway resonance fragmentation; edge information is obtained, suspected edge discontinuous points are obtained through edge end points and edge trend directions, gradient reconstruction processing is carried out on the broken grayscale image in combination with a grayscale boundary balance value and a gradient adjustment coefficient, and a gradient reconstruction image is obtained; accurate recognition and enhancement of edge discontinuous points are realized, the recognition capability of the image on discontinuous edges is improved, and meanwhile, the situation that internal textures are misjudged as aggregate particle boundaries is avoided; and aggregate particles are segmented by using a watershed algorithm based on a control marker, and the crushing particle size is measured, so that comprehensive identification and quantitative analysis of the runway crushing particle size are realized, and common-frequency crushing construction is guided.

The invention provides an aircraft ground steering system and an aircraft ground steering control method, which can realize steering and runway separation of an aircraft under a low-speed condition even if a front wheel turning system cannot work normally, and can inhibit or avoid additional weight increase. The aircraft ground steering system comprises a turning hand wheel assembly used for controlling a front wheel turning system to achieve steering of an aircraft when the aircraft slides on the ground at a low speed; the brake system comprises a brake control part, and the brake control part is used for controlling the brake pressure of the left main undercarriage wheel and the brake pressure of the right main undercarriage wheel; and a standby turning control unit capable of switching to a standby mode in which the brake pressure of the left main landing gear wheel and the brake pressure of the right main landing gear wheel are controlled via a brake control unit according to the angle of the hand wheel of the turning hand wheel assembly operated by a pilot.

The invention discloses a BIM-based airport runway pavement intelligent management method and system, and a medium, and belongs to the technical field of intelligent management. The BIM-based airport runway pavement intelligent management method comprises the steps of controlling an unmanned aerial vehicle to fly along a preset path plan; collecting a surface state image of the airport runway through an airborne camera of the unmanned aerial vehicle, and marking the position of the airport runway to obtain a data set of airport runway surface state data; performing pavement disease identification on each piece of airport runway surface state data in the data set of the airport runway surface state data to obtain a data set of pavement disease information; and performing geospatial registration on the data set of the pavement disease information, and mapping the pavement disease information to corresponding component elements in the airport runway BIM model by utilizing coordinate matching to obtain an updated airport runway BIM model. The airport runway BIM model can be updated, and intelligent management of the airport runway pavement is facilitated.

The invention discloses a flight recovery method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the disturbance information of flights, and screening disturbed flights according to the disturbance information; carrying out heterogeneity classification on the disturbed flights to obtain priorities, obtaining runway information of the disturbed flights, and carrying out availability and suitability analysis on the runway information; a flight recovery optimization model is established by taking the priority, runway information and flight information of disturbed flights as constraint conditions, recovery parameters for recovering flight of the disturbed flights are output by utilizing the flight recovery optimization model, and the recovery parameters are solved by adopting a novel convergence-diverse particle swarm intelligent optimization algorithm CDPSO. The flight heterogeneity and the multi-runway cooperation characteristic are introduced, airplane-unit linkage modeling is combined, the integrated recovery decision model is constructed, the scientificity, operability and execution efficiency of recovery scheduling can be improved, the adopted novel CDPSO algorithm integrates population layering, infeasible solution repairing and feasible solution detection mechanisms, and the solving performance is greatly improved.