2197 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.

A system may be configured to display a view of an airport moving map (AMM) depicting a location of an aircraft relative to a runway, the runway, a maximum runway overrun awareness and alerting system (ROAAS) model distance (RMD) indicator on the runway, a nominal model distance (NMD) indicator on the runway, and a ROAAS runway end indicator.

An urban air mobility building-top skyport for landing. loading and unloading. servicing. and parking short field takeoff and landing (STOL) aircraft. which includes a rotatable flight deck having at least one runway on which aircraft takeoff and land: a rotatable lower deck immediately below the flight deck and including an aircraft taxiway surrounding an enclosed central terminal with an elevator bank: and first and second aircraft ramps connecting the flight deck and the lower deck on which to taxi aircraft between the flight deck and the lower deck. A battery-swap station robotically replaces depleted batteries with fully charged batteries without the need for aircraft to cease moving at slow taxi speeds at any point during the process.

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 relates to the technical field of constructional engineering, in particular to a cement concrete durability optimization method and system for an airport runway, and the method comprises the steps: building a data collection frame, and collecting the data of the airport runway; preprocessing the collected data, and performing preliminary analysis based on the processed data to obtain main factors influencing the durability of the cement concrete; based on the preliminary analysis result, using machine learning and deep learning technologies to construct a durability prediction model; a self-learning mechanism is introduced, a feedback loop is established, actual operation data is compared with a prediction result, and model parameters are dynamically adjusted; and based on a prediction result of the durability prediction model, combining a plurality of durability indexes, and adopting a multi-objective optimization algorithm to generate an optimal cement concrete formula and a construction process scheme so as to obtain a final durability optimization scheme. By means of the method, the defects of a traditional method in the aspects of data accuracy and model adaptability are effectively overcome, and the durability optimization level of the airport runway cement concrete is improved.

The invention relates to the technical field of airport safety monitoring, and discloses an image-based airport runway foreign matter intelligent detection and clearance auxiliary processing system and method. The acquisition module is used for acquiring original image data of a runway and a clearance area in real time through a high-definition camera; adopting an improved YOLOv11 target detection algorithm to identify birds, unmanned aerial vehicles or foreign matter targets in the clearance area; an improved YOLOv11 backbone is used as a main body feature extractor, and original image data is converted into a multi-scale feature map; the neck assembly combines feature maps of different scales and transmits the feature maps to the head assembly for prediction; the head assembly performs target prediction based on the reconstructed feature map; wherein a C2f block in the YOLOv11 neck assembly is replaced by a C3k2 block, and an intersection stage part and a space attention block are introduced; and a bird repelling or cleaning module is dispatched according to the detection result. According to the invention, the monitoring efficiency can be effectively improved, the detection precision is improved, clearance auxiliary processing is optimized, and the safety of the airport runway is improved.

The invention discloses a data-mechanism fused airport runway surface water and ice condition prediction method. The method comprises the following steps: establishing a theoretical model of a runway surface temperature field and a water and ice condition; thermal parameter inversion is carried out on the theoretical model based on actually measured data, and a dynamic theoretical model adapted to an actual application scene is obtained through multi-time iteration optimization of model parameters; and utilizing the fused time sequence data and the dynamic theoretical model to predict the water and ice condition on the surface of the airport runway, and providing dynamic evolution information of the icing process. According to the method, the problems of insufficient real-time performance and accuracy of runway icing prediction in the prior art are solved, the icing time, the ice layer thickness and the ice layer range of the runway surface can be accurately predicted, real-time deicing decision support is provided, and the runway operation safety and the airport operation efficiency are effectively improved.

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.

Disclosed in the present invention are an integrated intelligent tower building apparatus for industrial construction of a bridge tower and a method. The integrated intelligent tower building apparatus comprises: a frame body, an automatic climbing mechanism, a template system, a vibrating system, a material spreading system, an opening / closing mechanism, a maintenance system, and an automatic template cleaning robot. The opening / closing mechanism comprises a tripod, an opening / closing oil cylinder, a pulling plate, and an opening / closing beam. The tripod is welded under a runway beam of an outer mold support. One end of the opening / closing oil cylinder is hinged to and fixed to a vertical rod of the tripod, and the other end of the opening / closing oil cylinder is hinged to the opening / closing beam. The opening / closing beam is hinged to a back arris of an outer template, and the other end of the opening / closing beam is hinged to the lower end of the vertical rod of the tripod. One end of the pulling plate is hinged to the side surface of the runway beam, and the other end of the pulling plate is hinged to a platform beam on the back of the template. The present invention achieves the improvement of the automation and intelligence level of the apparatus in each process of main tower construction.

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 relates to the technical field of digital twinning, and particularly provides an airport flight area risk management method and system, a terminal and a storage medium, and the method comprises the steps: constructing a three-dimensional model of an airport, and setting a management and control area in the three-dimensional model; collecting monitoring data of an airport, identifying a moving target and a movement track of the moving target from the monitoring data, and generating intrusion early warning information if the movement track intersects with the management and control area; aircraft demand information is obtained, the demand information comprises take-off demand information and landing demand information, and a to-be-executed task is generated based on the demand information; collecting meteorological data through a meteorological sensor; and distributing a take-off and landing runway for the task to be executed based on the meteorological data and the intrusion early warning information. According to the invention, the digital twinborn model is constructed and the environment data of the airport flight area is monitored, so that the illegal invasion of the flight area is early warned in time, and the runway is reasonably distributed based on the illegal invasion early warning, so that the flight safety is effectively managed and controlled.

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 relates to an ADS-B (Automatic Dependent Surveillance-Broadcast)-based civil aviation flight pre-arrival data calculation method, which integrates ADS-B data, meteorological satellite data, airport runway state monitoring data and air traffic control real-time instruction data through multi-source data fusion, and dynamically adjusts the weight of each data source according to the flight stage of a flight. A dynamic adjustment time synchronization interval mechanism is adopted, a short synchronization interval is set in the take-off stage and the landing stage so as to capture rapidly-changed data, and the synchronization interval is prolonged in the cruise stage so as to optimize computing resources. Meanwhile, the deep learning model based on the Transform architecture utilizes a multi-head self-attention mechanism and position coding to enhance the feature capture capability, and reduces the calculation burden through a sparse activation strategy. The system is provided with a real-time monitoring layer, log records and visual analysis tools are integrated, and interpretability and traceability of the model are ensured. An efficient aviation management decision is supported, and the efficiency and safety of overall aviation traffic management are improved.

The invention relates to a micro-settlement control method for an extra-large-span flat-top straight-wall tunnel under the dynamic load action of an aircraft, and relates to the technical field of tunnel construction. The control method comprises the following steps: S10, uniformly spreading the weight of the airplane to each airplane wheel, and calculating to obtain a static load P1 of the airplane; s20, vertical kinetic energy of the aircraft is converted into impact force, dynamic additional force F is obtained and evenly spread to each aircraft wheel, and the dynamic load P2 of the aircraft is obtained through calculation; s30, adding the static load P1 and the dynamic load P2 to obtain an aircraft landing impact load P3; s40, the distance r from the load acting point to the calculation point and the burial depth h of the tunnel are obtained, and settlement S of the tunnel vault is calculated through the aircraft landing impact load; s50, through Moire-Coulomb model simulation analysis, the influence of the aircraft dynamic load on tunnel construction settlement is obtained; and S60, making a corresponding construction scheme according to the influence of the airplane dynamic load on tunnel construction settlement. The construction problem of undercrossing the airport runway by the tunnel can be solved, and settlement of the airport runway is controlled.

A system may include a display and at least one processor. The at least one processor may be configured to: obtain a Notice to Air Mission (NOTAM); extract information from the NOTAM, the information including information of a runway displaced threshold of the runway and / or a landing distance available on the runway; generate a NOTAM file including the information; update runway overrun awareness and alerting system (ROAAS) data to include a current runway displaced threshold value and a current landing distance available value based on the information of the NOTAM file; generate a ROAAS image, wherein the ROAAS image graphically and / or textually depicts a view indicative of the current runway displaced threshold value and the current landing distance available value; and output the ROAAS image to the display.

The invention provides a shield excavation face deformation monitoring method and system for undercrossing an airport runway, and the method comprises the steps: generating a pressure load response characteristic based on the pressure fluctuation time sequence data of a cutter head hydraulic cylinder in a shield tunneling machine in combination with dynamic load distribution data and static load distribution data; the deformation track of the shield excavation face and the displacement change of a bottom soil body undercrossing the airport runway are obtained, point cloud registration processing is carried out, registered data are obtained, and two-dimensional deformation monitoring data of the shield excavation face and the bottom soil body in the horizontal direction and the vertical direction are extracted; based on the pressure load response characteristics, the two-dimensional deformation monitoring data and the surface settlement monitoring data of the undercrossing airport runway, obtaining a deformation trend prediction result of the shield excavation face; according to the method, high-precision real-time monitoring and trend prediction of collaborative deformation of the shield excavation face and the runway structure in the underpass airport runway scene are achieved, and runway operation safety and shield construction accurate control are guaranteed.

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.

Systems and methods are provided for quantifying airport taxiway congestion. The systems include a database comprising airport data indicating runways of an airport and taxi edges of the airport, positions of aircraft at the airport, and taxi paths of aircraft at the airport, and one or more controllers configured to, by one or more processors, determine a number of aircraft instructed to proceed to a first of the taxi edges, and generate a congestion factor for the first taxi edge based, at least in part, on the number of aircraft proceeding to the first taxi edge.

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 airport available runway monitoring and early warning system and method based on multi-source data fusion are high in real-time performance, good in forecasting effect and large in monitoring range. The system comprises a laser wind finding radar (1), a CFD numerical simulation module (2), a mesoscale weather forecast module (3), a machine learning model (4) and a system server (5). The method comprises the following steps that: a system server performs data assimilation by combining real-time wind shear detection data measured by a laser wind measurement radar and forecast data of a current time point output by a mesoscale weather forecast module, processes the assimilated data by applying a CFD numerical simulation module, and calculates the real-time wind shear detection data by combining terrain and building parameters near an airport; according to the method, real-time sub-meter gridding three-dimensional wind field data is generated, and a sub-meter three-dimensional wind field structure is reconstructed, so that future wind shear of an airport is forecast and early warned, and then available runway prediction is carried out. The method is applied to the technical field of wind field prediction and judgment.

The invention provides a collaborative two-stage multi-runway departure flight ordering method, which is specially designed for relieving the congestion problem of a multi-runway airport in a peak period, ensures that the departure process of the flight is more efficient, and accords with scientific planning. The method comprises the following steps: constructing a multi-runway dynamic push-out rate control model to determine an optimal queuing threshold value of a taxiway; constructing a flight ordering and assigning model with the goal of minimizing flight delay and operation cost; and proposing a continuous Markov chain-based interactive whale algorithm, and carrying out flight push-out sequence and runway resource allocation. According to the method, the departure flight taxiing amount of the airport scene can be accurately identified, taxiway waiting time caused by runway occupation after the flight is launched is reduced, the actual significance is achieved for improving the flight punctuality rate and improving the overall airport operation efficiency, and the current green aviation development concept is met.

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 provides a method and a system for generating deviation guide information in an approaching landing section of an aircraft and a readable storage medium, and the method comprises the steps: S1, real image collection and processing: capturing an outboard environment image through an airborne visual sensor, and extracting key feature points of a target landing airport runway; s2, virtual image generation: based on the airport three-dimensional high-precision map, generating an approach glide image under a visual angle of a virtual camera; s3, image feature registration: carrying out spatial alignment on the key feature points of the runway in the real image and the key feature points of the runway in the virtual image; the pixel deviation of the runway center point in the real image and the virtual image is calculated, glide guidance is provided for a pilot or is directly input into an automatic flight system.The method can be used for the aircraft in the approaching landing section, the enhanced outboard visual display is provided for the pilot in the cockpit based on the equivalent ILS deviation guidance method, and the visual guidance effect is improved. And providing approaching glide deviation guide information.

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 an airplane wheel driving and rotating device, particularly relates to the technical field of airplane maintenance equipment, and aims to solve the technical problem that an existing airplane wheel driving and rotating device firstly drives and rotates airplane wheels and then performs a brake test, which is different from a real landing condition, and a real landing environment cannot be simulated. The device comprises a rack, a contact roller is installed on the rack, the contact roller is driven by a driving module installed on the rack to rotate, and an asphalt concrete layer is arranged on the outer side of the contact roller and used for simulating the pavement of an airplane runway. The invention provides an airplane wheel rotation driving device which can simulate a real braking environment, so that working state test data of an airplane wheel braking system can be closer to a real value, and powerful data theory support is provided for research of the airplane wheel braking system.

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 belongs to the technical field of infrastructure structures and materials, and discloses an intrinsic self-prestress ECC material, a surface layer structure prepared from the intrinsic self-prestress ECC material and application of the intrinsic self-prestress ECC material. A low-dosage volume expansion component and a building and curing combined strategy are utilized, the bottleneck that self-stress and a construction window period are not coordinated is broken through, the highest free expansion deformation of the intrinsic self-prestress ECC material in the temperature and humidity curing process is controlled to range from 1500 mu epsilon to 10000 mu epsilon, the later-period service free volume deformation is kept to be 55% higher than the early-period highest free expansion deformation, and the service life of the intrinsic self-prestress ECC material is prolonged. And the dual requirements of intrinsic self-prestress and construction windows are innovatively met. The maintenance-free seamless ultrathin target of the ECC surface layer structure is achieved through high-performance intrinsic self-prestress and self-healing. The method is widely applied to the fields of ocean ultra-thin large-buoyancy floating bodies, road surfaces, bridge floors, airport runways, ultra-thin box culverts, concrete panels, pumped storage power station panels, anti-seepage panels, floor panels, canal linings, tunnel linings, old structure updating and repairing and the like.

The invention relates to a tilting rotor unmanned aerial vehicle, in particular to an unmanned aerial vehicle combining a flying wing type structure and a multi-shaft tilting rotor. A completely fused flying wing type fuselage is formed by a low-speed wing shape, and no other fuselage characteristics exist except that bilaterally symmetrical wings are directly connected and fused in the middle; a left tilting rotor frame and a right tilting rotor frame are mounted at the left end and the right end of the flying wing type fuselage respectively; at least one to at most six brackets extend from the front part and the rear part respectively, and symmetrical tilting rotor frames are mounted on the brackets; motors and paddles are mounted on all the tilting rotor frames; and an undercarriage is mounted below the flying wing type fuselage. During tilting, a single motor and a single blade are not tilted, but a plurality of power units formed by one or more motors and blades are tilted in groups through a tilting rotor frame. Therefore, the structure is simplified, and the safety and the maneuverability are improved. The landing gear has two types, one type is a foot type landing gear suitable for vertical take-off and landing in a soft site, and the other type is a wheel type landing gear suitable for short-track take-off and landing in a hardened site.

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.