38 results about "Bird strike" patented technology

A counter-bird aircraft system is disclosed, including a Doppler detection device having at least one emitter positioned on an aircraft, the emitter to emit a beam ahead of the aircraft. At least one receiver detects a return signal caused by the presence of a threat to the aircraft. A microprocessor processes the reception of the return signal and transmits an alert to an alert system which notifies the pilot of the presence of the threat.

The invention relates to the technical field of computer vision and intelligent monitoring, in particular to a bird impact risk real-time early warning method and system based on video stream analysis. According to the invention, a local adaptive enhancement algorithm is adopted to carry out differential preprocessing on a video stream according to pixel local neighborhood features; a YOLOv8m-Bird model embedded with a convolution block attention module is adopted to carry out bird detection; constructing a dynamic space-time diagram of coded social tracking interaction based on a detection result, fusing fine-grained behavior characteristics, and generating a prediction track through a time sequence prediction network; quantifying a risk intensity value by integrating the spatial distance, the approaching speed, the intersection time and the behavior uncertainty index; and the risk intensity value and the environment data are fused to generate a dynamic risk thermodynamic diagram, the dynamic risk thermodynamic diagram is displayed in an overlapping mode, early warning is triggered when the dynamic risk thermodynamic diagram exceeds a threshold value, bird repelling equipment is linked, and real-time accurate early warning of the bird impact risk is achieved.

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.

This utility model discloses an automatic bird deterrent device for high-mast lighting, relating to the field of automatic bird deterrent devices. It includes a pole, a frame, LED lights, and a bird deterrent mechanism. The frame is installed at the upper end of the pole, and the LED lights are mounted on the frame. The bird deterrent mechanism is located above the frame and includes a bird deterrent box, a windmill, a lens, and an electrical box. The electrical box is located inside the bird deterrent box, and the windmill is rotated and located above the bird deterrent box. The upper end of the bird deterrent box contains a device for converting wind power into electrical energy. The lens is fixedly installed on both sides of the blades at the upper end of the windmill. This utility model utilizes an infrared photoelectric sensor switch for automatic bird deterrence, greatly reducing the input of manpower and resources. It drives away birds with extremely fast response speed, preventing them from stopping and nesting, reducing the lighting effect caused by nesting, and decreasing the number of birds near airports, thus lowering the risk of bird strikes.

This application provides a method for determining the bird-swallowing capability of an aero-engine, belonging to the field of aero-engine testing. The method includes: evaluating the bird strike resistance of blades using strength simulation, correcting it with component test results to obtain the blade's bird strike resistance characteristics; evaluating the aerodynamic impact of damaged blades through aerodynamic modeling, correcting it with blade-mounted testing to obtain the aerodynamic impact characteristics of damaged blades on the engine; determining the quantitative relationship between bird-swallowing parameters and blade damage based on test and simulation results; determining the strength and aerodynamic boundaries of the aero-engine's bird-swallowing capability; determining the engine's bird-swallowing capability based on the engine's bird-swallowing strength and aerodynamic boundaries, combined with bird-swallowing standards; and improving the bird-swallowing capability of an engine with determined bird-swallowing capability through targeted design improvements.

The application belongs to the field of aero-engine test, and particularly relates to a bird impact test group gun launching high-speed shell design method, which is based on the shape of a uniform thin-walled cylinder structure shell, constructs a three-dimensional numerical simulation model of the shell and a shell ejection device, calculates stress and deformation results of the shell when the shell impacts the shell ejection device at a high bird speed, and finds out stress weak positions and displacement weak positions of the structure; the minimum size bird body that can be accommodated in the middle section and the rear section of the shell is taken as a constraint, the minimum inner diameters of the middle section and the rear section of the shell and the optimal buckling mode of the shell are taken as optimization targets, and the shell structure is subjected to topology optimization to obtain an initial shell profile; the internal stress of the shell does not exceed the material failure stress, and the total mass of the shell does not exceed the original mass, which are taken as constraint conditions, and the maximum energy absorption of the front end of the shell and the minimum deformation of the middle section and the rear section are taken as optimization targets, and the shell structure is subjected to topology optimization of size and shape to obtain an optimized shell.

The invention belongs to the technical field of engine structure design, and particularly discloses a bird-impact-resistant layered hybrid asymmetric layering structure for the tail edge of a composite material blade, and the bird-impact-resistant layered hybrid asymmetric layering structure is used for forming a fan blade of a large-bypass-ratio turbofan engine. The bird-impact-resistant layered hybrid asymmetric layering structure for the tail edge of the composite material blade comprises a bullet-facing surface, a central area and a bullet-backing surface, a hybrid region is arranged in the central region, and fibers which are different from other regions and have high toughness are arranged in the hybrid region, so that a hybrid fiber laying layer structure is formed; the mixed area is not symmetrical about the geometric middle plane of the layering structure in the thickness direction, so that an asymmetric layering structure is formed. The problems that the rigidity and toughness of a single material system of an existing composite material fan blade laying layer are contradictory, and the design freedom degree is limited by symmetrical laying layer design are solved.

This invention relates to a bird strike test fixture and method for composite material blades of aero-engines. The invention includes an outer spherical shell; an inner spherical shell installed within the outer shell, the inner shell having a top opening; a limiting hemisphere installed within the top opening of the inner shell; a clamping assembly including two contoured clamping blocks and a sliding rod, each contoured clamping block including a clamping end, an arcuate spherical surface, and a connecting rod; and a magnetorheological locking assembly disposed within the upper shell, including a flexible bag and excitation coils. The flexible bag is filled with magnetorheological fluid and disposed within the central cavity, and multiple excitation coils are disposed in two side cavities and distributed around the periphery of the flexible bag. This invention achieves different angular rotations of the composite material blade of an aero-engine by releasing multiple rotational degrees of freedom, thereby simulating the stress distribution and damage types of the blade under harsh operating conditions from impacts at different angles, thus improving the accuracy and reliability of the test data.

The invention relates to the technical field of multi-modal data processing, and provides a bird strike prevention intelligent management method and system, a medium and equipment, and the method comprises the steps: for each frame of image, extracting a feature point in a foreground region, calculating the speed variance and direction variance of the feature point through a sparse optical flow method, and removing a pseudo foreground; segmenting a foreground region of each frame of image to obtain a plurality of target detection frames, and allocating a tag number for each target detection frame through a greedy matching method; for the target detection frames with the same mark number, generating a motion track, and extracting a visual feature vector, a physical scale change vector and a speed change vector; and for sound signals, extracting sound feature vectors, combining a motion track, a visual feature vector, a physical scale change vector and a speed change vector, carrying out multi-modal feature joint modeling to obtain a bird type recognition result, and formulating a driving strategy. The classification accuracy of common airport birds is effectively improved, and the high-precision bird strike prevention requirement of an airport is met.

The application discloses a laser radar airport bird group detection and early warning method and system based on a DGNN, relates to the technical field of airport operation safety monitoring, and comprises the following steps: collecting continuous three-dimensional point cloud data of an airport runway, a taxiway and adjacent airspace by using a laser radar device and performing preprocessing to form a continuous multi-frame structured point cloud sequence; taking points or point cloud clusters in the sequence that meet preset space and intensity conditions as graph nodes, establishing a connection edge between the nodes according to a spatial proximity relationship between the nodes, a time continuity relationship and operation similarity, and forming a dynamic graph structure that evolves over time; jointly analyzing the features of the graph nodes and the mutual relationship thereof by using a DGNN, and identifying bird targets in the nodes; aggregating the identified bird targets to construct a bird group cluster set, combining a bird strike risk assessment model, calculating a potential risk value of the bird group cluster to the operation of the airport, and performing graded early warning according to the risk value, so that integrated bird group detection, behavior analysis and risk early warning are realized.

The invention relates to the technical field of aircraft engine health monitoring and fault diagnosis, in particular to a bird strike damage automatic evaluation method for a CFM56-7B aircraft engine. According to the method, key operation parameters are screened through the working principle of an engine, and a double-layer cross validation architecture of a double-engine difference feature layer and a single-engine deviation feature layer is constructed; instantaneous disturbance is captured by calculating the difference value change peak value of the same parameters of the two engines, and single-engine internal parameter logic departure and serious departure events are identified by utilizing high-correlation parameters of the engine to correlation coefficients; and training an intelligent classification model based on the features, and finally outputting a three-level linkage decision-making system of a parameter abnormity level, a damage risk level and a maintenance suggestion. According to the method, tiny and transient parameter anomalies caused by bird strike can be accurately recognized, missing detection and false alarm are remarkably reduced, the damage degree is rapidly and automatically evaluated, reliable support is provided for bird strike engine decision making, and flight safety is guaranteed.

This invention relates to the field of aircraft structural design technology, specifically to a leading-edge tower-type bird strike protection structure for aircraft. It includes a leading-edge skin assembly, a first protective assembly, a second protective assembly, a third protective assembly, and a rear beam assembly. The leading-edge skin assembly and the rear beam assembly are located at the front and rear ends of the sequentially connected first, second, and third protective assemblies, respectively, and are wrapped around them. The rear end of the first protective assembly is fixedly connected to the front end of the second protective assembly and is used to resist high-speed bird impacts. The rear end of the second protective assembly is fixedly connected to the front end of the third protective assembly and is used to resist medium-speed bird impacts. The rear end of the third protective assembly is fixedly connected to the rear beam assembly and is used to resist low-speed bird impacts. The purpose of this leading-edge tower-type bird strike protection structure is to solve the problem of low structural efficiency in existing aircraft leading-edge bird strike protection structures.

The application belongs to the technical field of engine structure design, and particularly discloses a hybrid asymmetric layered structure of a composite blade tail edge for resisting bird strikes, which is used for forming a fan blade of a large-bypass-ratio turbofan engine, and comprises a bullet-facing surface, a central region and a bullet-facing back surface; a hybrid region is arranged in the central region, and high-toughness fibers different from those in other regions are arranged in the hybrid region to form a hybrid fiber layered structure; the hybrid region is not symmetric about the geometric median plane of the layered structure in the thickness direction, thereby forming an asymmetric layered structure. The application solves the contradiction between the stiffness and toughness of the single material system of the existing composite fan blade layered structure and the problem that the symmetric layered design limits the design freedom.

The invention discloses a method for determining the weakest bird strike part of a fan rotor blade of an aero-engine. The method comprises the following steps: acquiring blade parameters, setting the axial relative speed of a bird body and the radial rotation radius of a strike position, establishing a fan blade bird strike mathematical model, and outputting the relative strike speed between the bird body and the blade; setting bird body parameters, constructing a cylindrical bird body model, and calculating the maximum bird body impact mass; calculating impact kinetic energy in combination with the relative impact speed; constructing bird strike equivalent stress, obtaining standard bird strike equivalent stress, and drawing a standard equivalent stress C-R distribution curve; and in the C-R distribution curve, the position of the radial rotation radius corresponding to the maximum equivalent stress on the blade is determined as the weakest bird impact part. According to the method, quick and quantitative identification of the weak bird impact area of the fan blade under various flight conditions is realized, the design of a bird impact resistant structure and the formulation of a whole machine bird swallowing test scheme can be effectively guided, and the method is high in engineering practicability, high in analysis efficiency and wide in adaptability.

The invention belongs to the technical field of functional composite coating materials, and particularly relates to a coating material with icing-proof and bird strike-proof functions. The coating material adopts a unique three-layer structure design, the bottom layer graphene nanosheet or boron nitride nanotube reinforcing layer is specially used for constructing an interface bonding system with toughness, the adhesive force of the coating and a base material is improved through the nano reinforcing effect, and interlayer stripping and falling under external force impact are prevented; in the middle layer, nano cerium oxide or titanium nitride treated by a coupling agent is compounded with perfluoropolyether carbamate, so that photocatalytic self-cleaning and super-hydrophobic functions are realized, pollutant attachment is reduced, and formation of an ice layer is prevented; the surface layer constructs an optical warning barrier through pretreated ultraviolet reflection glass beads (the reflectivity is larger than 90%), optical signals sensitive to bird vision are generated under natural light by means of the ultraviolet band reflection characteristic of the beads, birds are induced to actively evade, bird strike accidents are prevented, and meanwhile the solar reflection heat insulation auxiliary anti-icing function is achieved.

The invention discloses a bird activity prediction system and method based on weather radar data. The system comprises a data acquisition module, a data processing module, a prediction module and an output module. The data acquisition module acquires bird migration activity data in a target area through a weather radar, and provides real-time meteorological information in combination with meteorological monitoring equipment. The data processing module carries out cleaning, format conversion, missing value filling and other preprocessing operations on the collected data, and the integrity and accuracy of the data are ensured. The prediction module predicts bird migration intensity, time and route through a training model based on a machine learning algorithm. The model is also combined with meteorological factors such as wind speed, temperature, humidity and air pressure for multi-factor analysis, and key factors influencing bird activities are identified. The output module displays the prediction result in a visual interface mode, helps a user to know the bird activity trend, and particularly provides data support for bird strike prevention of an airport in the field of aviation safety management.

The invention discloses a laser bird repelling method and system for a wind power plant, and the method comprises the steps: firstly, controlling a first laser bird repelling device to emit laser according to first power based on a preset protection range, enabling a light spot emitted by a laser beam to interfere with a bird when the bird enters the preset protection range, stimulating the bird through the laser, enabling the bird to change the life habit of the bird, and enabling the bird to enter the preset protection range; the probability of inhabiting under the target fan is reduced, the number of bird populations moving around the fan is reduced, meanwhile, the second laser bird repeller is controlled to emit laser according to the second power based on the distance between the second laser bird repeller and the blades of the target fan, and due to the fact that the laser emitted by the second laser bird repeller directly points to the blades, the efficiency of the target fan is improved. According to the technical scheme, deterrent force can be directly generated on birds approaching the blades, the birds are effectively prevented from approaching the fan blades, bird strike events can be effectively prevented through the two laser bird dispeller bodies, and the laser bird dispeller bodies are convenient to install and maintain and suitable for being applied to a large-scale wind power plant.

The application provides an inlaid folding engine air inlet channel protection device and a control method thereof, which comprises: a plurality of protection fan nets; an inner ring sliding rail arranged on an engine main shaft, an inner side of the protection fan net being connected with the inner ring sliding rail; an outer ring sliding rail arranged on an inner wall of an engine air inlet channel, an outer side of the protection fan net being connected with the outer ring sliding rail; a gear hinge arranged between the protection fan nets, the gear hinge being used for connecting the protection fan nets; and a driving mechanism connected with the gear hinge. The application is applied to the helicopter flight, take-off and landing and near-ground hovering stage, and the metal net filtering mode is used to block the branches and gravel entering the engine by being rolled into the engine air inlet, and the bird strike hazard of near-ground flight to the engine is prevented, so that the engine power can be better protected while the engine compressor blades are protected.

This invention relates to the field of multimodal data processing technology, and provides an intelligent management method, system, medium, and device for bird strike prevention. The method includes: for each image frame, extracting feature points in the foreground region, calculating the velocity variance and orientation variance of the feature points using sparse optical flow, and eliminating false foreground elements; for each image frame's foreground region, segmenting it to obtain several target detection boxes, and assigning a label number to each target detection box using a greedy matching method; for target detection boxes with the same label number, generating a motion trajectory, and extracting visual feature vectors, physical scale change vectors, and velocity change vectors; for sound signals, extracting sound feature vectors, and combining the motion trajectory, visual feature vectors, physical scale change vectors, and velocity change vectors, obtaining bird species identification results through multimodal feature joint modeling, and formulating a deterrent strategy. This effectively improves the classification accuracy of common airport birds and meets the high-precision bird strike prevention requirements of airports.

The application discloses a bird strike risk assessment method based on flight residual error and approach corridor risk field coupling, which comprises the following steps: constructing an approach space corridor in a three-dimensional map of an airport airspace in a take-off and landing approach airspace, and drawing a voxel grid in the approach space corridor; constructing a bird strike risk assessment model comprising a flight residual error feature assessment module, an ecological risk feature assessment module and a dynamic space-time risk field module; constructing a bird strike event space-time data sample set input bird strike risk assessment model, and training a model of a risk assessment value based on a dynamic space-time risk field; acquiring bird strike event space-time data of a research airport and research time input bird strike risk assessment model, and sequentially outputting corresponding risk assessment values by the bird strike risk assessment model according to the dynamic space-time risk field. The application can output corresponding risk assessment values or the risk probability of bird strike events according to the dynamic space-time risk field, and realizes risk assessment under the dynamic space-time of each voxel grid in the approach corridor.

The invention relates to the technical field of bird strike resistance design of aero-engine blades, and discloses a bird strike impact load analysis method and system for the front edge of an aero-engine blade. According to the method, the impact load borne by the blade front edge bird strike is rapidly analyzed and obtained, a traditional finite element analysis method is replaced, the analysis efficiency of the impact load borne by the blade front edge bird strike can be improved, and compared with the traditional finite element analysis method, the analysis period can be remarkably shortened, and the cost can be reduced; rapid analysis of multi-working-condition and multi-part impact loads can be achieved by adjusting attribute parameters of the bird body model, structural parameters of the engine and state parameters under the examination working condition, and powerful support is provided for design optimization and safety evaluation of aero-engine blades.

The invention is suitable for the technical field of operation monitoring of wind power generation equipment, and provides a fan blade edge wear detection monitoring method and system.The method comprises the steps that monitoring data of a target blade are obtained, and a blade edge wear value of the target blade in a specified time period is set as a current blade edge low credible wear value; the image quality of the current monitoring image in the specified time period is lower than a preset threshold value; screening out a plurality of samples from the monitoring data, wherein the samples are consistent with the operation background and the migrant bird activity intensity of the target blade in the specified time period, but the low credible wear values of the blade edges are different; dynamic correction of a fan blade edge wear detection result under a low visibility condition can be realized, and the limitation that static judgment is performed only by depending on an image quality threshold and the influence of a bird impact environment cannot be accurately reflected in the prior art is broken through. According to the method, the influence of illumination degradation on the image recognition precision is considered;

The invention relates to the field of gas turbine engine fan component design, and discloses a method and a system for evaluating aerodynamic performance loss after bird strike of an aero-engine fan blade, which adopt a display dynamics method to perform numerical simulation on the bird strike problem of a fan rotor blade, accurately simulate deformation and damage conditions of the fan component rotor blade after bird strike, and improve the reliability of the aero-engine fan blade. And in combination with a computational fluid dynamics method, aerodynamic performance simulation of the component is carried out on aerodynamic performance of the deformed blade after bird strike so as to evaluate aerodynamic performance loss of the fan component after bird strike, so that bird strike resistance design of the fan component is guided, and it is ensured that an aero-engine meets related airworthiness requirements. According to the evaluation method, the aerodynamic performance of the fan component after bird impact does not need to be evaluated through a real bird impact test, a destructive aero-engine fan component bird impact test which is high in cost is avoided, it can be guaranteed that the aerodynamic performance loss of the fan component after bird impact meets the requirement, and the success rate of fan component design is increased.

The application discloses a radar bird situation data short-term prediction method based on an optical flow method. The main technical problem to be solved is that the high-precision short-term prediction of radar bird situation data is realized by using the optical flow method, aiming at the problems of lacking fine bird situation prediction and near-time sequence prediction scheme, etc. The application proposes the high-precision short-term prediction method of radar bird situation data based on the optical flow method, aiming at the problems of lacking fine bird situation prediction and near-time sequence prediction scheme, etc. The data discreteness problem is effectively solved by Kriging interpolation, the bird situation density data accuracy is improved, the spectral decomposition optical flow method is used for extrapolation, the bird situation state of the near-time sequence can be better predicted, and data basis is provided for bird strike prevention.

This application discloses a precise bird strike prevention and control method and system based on aircraft flight location. The method collects real-time aircraft flight data and bird flock activity data, processes the data to extract features, and uses an LSTM model to predict the future trajectory of the bird flock and generate a position probability cloud map. Simultaneously, it dynamically constructs a three-dimensional safety channel centered on the aircraft based on different flight phases; then, it calculates the collision risk probability between the aircraft's future position and the bird flock probability cloud, compares it with a preset threshold to classify the risk level, and finally triggers graded bird deterrence measures based on the risk level. This application achieves precise protection "wherever the flight goes, protection follows," solving the problems of incomplete bird strike prevention and resource waste in existing technologies. It constructs a comprehensive, dynamic, and targeted bird strike prevention system, effectively improving the intelligence level and efficiency of airport bird strike prevention.

The invention discloses a multi-element compound pesticide composition aiming at airport lawn pests and a use method, and belongs to the technical field of ecological safety. The multi-element compound pesticide composition provided by the invention comprises diazinon, lambda-cyhalothrin, chlorantraniliprole and metaldehyde, and the multi-element compound pesticide composition fuses four medicaments with different action mechanisms together, and covers main aboveground and underground pest groups of an airport lawn. The four components in the multi-element compound pesticide composition have a synergistic effect, and the diversity of animal communities in the whole airport lawn is reduced to the lowest level in the shortest time, so that the root cause that pests attract birds is eliminated, and the bird strike risk is reduced.

The invention relates to the field of temperature sensors, in particular to a dual-redundancy air inlet temperature sensor for preventing ice and bird impact. Comprising a sensitive element, a body and an extension part, the extension part is provided with a first detection cavity and a second detection cavity; the first detection cavity and the extension part form a first channel for detection, a second channel for air inlet and a third channel for air outlet; the second detection cavity and the extension part form a fourth channel for detection, a fifth channel for air inlet and a sixth channel for air outlet; the third channel is located in the outline of the extension part and communicates with the first detection cavity and the second detection cavity. According to the dual-redundancy air inlet temperature sensor for preventing icing and bird impact, air can still continue to flow through the third path after the dual-redundancy air inlet temperature sensor is impacted by birds and the sixth channel is completely blocked, the reliability of the dual-redundancy air inlet temperature sensor for preventing icing and bird impact is higher, and the risk of aviation aircrafts is reduced.

The embodiment of the invention discloses a bird strike risk situation prediction and precise bird repelling method and system. The method comprises the following steps: screening bird activity data according to a scene classification result and a bird species and activity pattern classification result; performing parameter learning on a bird activity space-time probability prediction model by adopting the data; acquiring current bird activity data, and predicting a bird strike risk situation based on a bird activity space-time probability prediction model; and adopting a bird repelling strategy in combination with a bird strike risk situation result and aircraft information. According to the embodiment of the invention, expert knowledge is fully utilized to improve the intelligent level of the system in the aspects of risk judgment and prevention and control strategies, risk judgment and bird repelling operation are deeply combined with the capabilities of bird observation and aircraft avoidance from the principle, and an innovative risk prevention and control mode is formed. The advantages of the information technology are further utilized, and a large amount of bird activity data are taken as the basis, so that expert experience is supported by data, and the effectiveness of the implementation effect can be proved by big data.