88 results about "Bird strike" patented technology

The invention discloses an airport bird condition automatic detection and intelligent bird repelling device and method, and the method comprises the steps: collecting airport airspace environment data in real time through a multi-source sensor array, carrying out the preprocessing of the environment data, and generating a fusion data set; a target detection model is constructed based on a deep learning algorithm to perform bird target recognition on the fusion data set, and target feature information is extracted and comprises bird positions, movement tracks, the number and types; calculating a threat level of bird activities to flights through a risk assessment model established based on fuzzy logic and a Bayesian network in combination with airport flight take-off and landing time sequence data and target feature information; triggering a grading early warning signal according to the threat grade, and linking the bird repelling equipment to execute directional bird repelling operation. According to the invention, an airport bird situation automatic detection and emergency prevention and control system is formed, the bird strike risk detection precision, the early warning accuracy and the bird repelling efficiency are improved, and the aviation operation safety is guaranteed.

The invention relates to the technical field of airport safety protection, and discloses an airport bird strike prevention method and system based on multi-sensor fusion. The method comprises the steps of collecting airport peripheral airspace radar detection, radio detection, laser monitoring, weather and other multi-mode sensor data, and performing time synchronization and space registration to generate a fusion data stream; features are extracted based on a dynamic weight distribution algorithm, target types are identified by using a multi-modal classification model, and birds and unmanned aerial vehicles are distinguished; constructing a dynamic risk assessment model based on a Markov chain to generate an intrusion risk level; and when the risk level exceeds a preset threshold value, triggering a multi-level alarm strategy and linking the expelling equipment to execute a self-adaptive expelling instruction. According to the method and system, through multi-sensor fusion, the monitoring precision is improved, the target is accurately recognized, the risk is evaluated in real time, efficient alarming and expelling are achieved, the airport bird strike prevention capacity is effectively improved, and aviation safety is guaranteed.

The invention relates to the technical field of airport bird strike prevention and control and intelligent acoustic interference, in particular to a humanization airport bird behavior migration dispersing method based on anti-adaptive continuous ultrasonic neural interference, and the method comprises the steps: obtaining the number, position, flight path, moving speed and other dynamic data of bird targets in real time through a multi-dimensional sensor; according to the data and the environmental parameters, ultrasonic signals with variable parameters are directionally transmitted; under the action of ultrasonic waves, behavior responses of the birds are continuously monitored, and the key behavior parameter variable quantity serves as a feedback signal; when it is detected that bird response is weakened, an anti-adaptive algorithm is started instantly, and pseudo-random dynamic adjustment is conducted on ultrasonic parameters; by controlling the sound pressure level and the transmitting direction of the ultrasonic signals, the birds are induced to move outwards safely along the preset migration corridor. Precise dispelling, long-acting dispelling and humanization guiding of birds are achieved, and intelligence, effectiveness and safety of bird prevention and control of the airport are remarkably improved.

The invention provides a bird collision channel risk prediction method, and particularly relates to the technical field of aviation safety, and the method comprises the steps: obtaining bird situation data, airplane flight data, meteorological data and other multi-source data of a preset time window in an airport channel region, and carrying out the preprocessing to obtain standardized data; and then inputting the standardized data into a multi-stream transform model to generate a prediction probability of the bird-hit channel. And according to comparison between the prediction probability and a preset risk level threshold value, dividing a current channel risk level, and triggering a corresponding alarm prevention and control decision based on the risk level, thereby effectively preventing occurrence of bird collision accidents. According to the method, the technical problem of how to effectively improve the accuracy and timeliness of bird strike risk early warning so as to reduce the aviation accident rate is solved, so that real-time accurate prediction and automatic prevention and control decision of the bird strike risk are realized, and the aviation accident risk is remarkably reduced.

The invention discloses a radar bird flight feature extraction and behavior analysis method, and relates to the technical field of radar signal processing. Comprising the following steps: based on airport radar track data, constructing a multi-dimensional kinematics track portrait by calculating instantaneous characteristics such as track straightness and horizontal turning rate; determining an optimal clustering number by using an elbow rule, and performing unsupervised clustering on the track portrait by using a K-Means algorithm to realize automatic mode division of flight behaviors; performing qualitative and quantitative analysis and cross validation on a clustering result by combining UMAP dimension reduction visualization and a typical three-dimensional track reconstruction technology, and deeply interpreting connotations of various behavior modes; the method is solidified into a modular system including data acquisition, feature calculation and algorithm processing, and automation of the analysis process is achieved. According to the method, bird situation analysis is improved from traditional target identification to understanding of flight intentions, and a new technical support is provided for precise evaluation and intelligent early warning of airport bird strike risks.

The invention relates to the technical field of bird strike prevention and control, in particular to an airport bird flock timely early warning prevention and control method and system based on radar monitoring, which can scan a monitoring area in real time by using a radar to obtain real-time dynamic data of bird flock activities, integrate the real-time dynamic data into a monitoring data set and send the monitoring data set to a cloud server. Generating spatial mapping data capable of reflecting spatial density distribution of bird flocks in the monitoring area and gathering hot spots, and defining a risk area; if it is judged that the bird flock enters the risk area according to the real-time dynamic data, dynamic adjustment parameters are generated, and a scanning strategy of the radar monitoring system is optimized and adjusted; and generating a real-time updated monitoring report according to the real-time dynamic data, further generating a prevention and control instruction data set, and generating a final response scheme. According to the technical scheme, the target area is monitored based on the radar, the data is accurate, the coverage range is large, the radar scanning strategy is adjusted after the bird flock enters the risk area, the data monitoring precision is improved, and the generated monitoring report is high in precision and timeliness.

The invention discloses an intelligent bird strike prevention and control method and system based on multi-source data, and relates to the field of aviation safety, in particular to the intelligent bird strike prevention and control method based on the multi-source data. The intelligent bird strike prevention and control method based on the multi-source data comprises the steps that aircraft position data are collected; acquiring bird position data; preprocessing the data; constructing a hybrid space-time convolutional neural network, a long-short-term memory network and a physical constraint aircraft trajectory prediction model; constructing a bird trajectory prediction model of a mixed long and short-term memory network and a graph neural network; constructing a collision detection model combined with a mahalanobis distance; risk grade evaluation; and risk grading response. According to the invention, the problems that the data structure is single and different air defense measures are not taken for different risk levels in the prior art are solved. Therefore, the probability of bird strike accidents is effectively reduced, and the safety performance of air transportation is improved.

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 discloses an aircraft attitude control method based on deep learning, and relates to the technical field of video monitoring, and the method comprises the steps: constructing an aircraft attitude control network based on a recurrent neural network, and receiving various state data of an aircraft and real-time monitoring sensor data by an input layer; the time sequence information of the flight state of the aircraft is deeply mined and learned through the recurrent neural network, the attitude change trend of the aircraft is accurately predicted, the real-time monitoring sensor can rapidly capture abnormal information under the complex and changeable flight conditions such as strong airflow, bird strike or equipment faults, and the real-time monitoring sensor can accurately monitor the attitude change trend of the aircraft. The adaptive adjustment module optimizes network parameters or structures in time according to a preset strategy, effectively improves the response speed, accuracy and stability of aircraft attitude control in an emergency, ensures that an aircraft can still keep a safe and stable flight attitude in various extreme conditions, greatly enhances the flight safety and reliability of the aircraft, and improves the flight safety and reliability of the aircraft. And the risk of flight accidents caused by emergencies is reduced.

The present disclosure relates to a film product for application to a building envelope, in particular a transparent section of the building envelope, for protection against bird strikes. The film product has a film body with a planar extension. The film body has at least one UV bird protection section with an optical effect in the UV range as a UV bird protection function. The at least one UV bird protection section has a bird protection position with respect to the film body. The film product also has at least one installation marking with an optical effect in the VIS range visible to humans. The installation marking has at least one orientation section, which indicates the bird protection position of at least one UV bird protection section in the VIS range.

The invention provides a new airport site selection planning method based on bird strike risk prevention and application thereof, and the method comprises the steps: firstly screening out a pre-selected site position in a site pre-selection stage according to the limiting conditions of airport construction; comprehensively considering the degree of harm to aircrafts caused by collision of dominant bird species and bird machines in the research area, and determining the egret species, the goose and duck species and the gull species as high-risk bird species in the research area; performing high-risk bird habitat identification by using an analytic hierarchy process and a GIS analysis method; by loading, checking and visualizing weather radar data, the intensity and spatial-temporal distribution characteristics of bird activities are visually analyzed, the bird strike risk of each site scheme is evaluated, and suggestions are provided for site selection and construction of an airport. The method is suitable for airport site selection in a region where the weather radar is deployed, helps the region to do early site selection planning work, and further guarantees the flight safety.

The invention discloses a bird strike risk prediction method and system based on an improved dwarf optimization model, and the method comprises the steps: S1, calculating the unit bird strike risk of each time span group for historical bird strike event data based on a bird strike risk evaluation index system, and collecting the unit bird strike risks according to a time sequence to form a bird strike risk data set; s2, constructing a bird strike risk prediction combination model and performing model training; s3, performing model parameter optimization processing on the bird strike risk prediction combination model by using the improved dwarf weasel optimization algorithm model; and S4, the bird strike risk prediction combination model outputs unit bird strike risks of a plurality of continuous time span groups after the research prediction day according to the time sequence. According to the method, the trend characteristics, seasonal characteristics, time sequence characteristics and nonlinear relations of the historical time sequence bird strike risk data set can be better captured, the continuous unit bird strike risks after the prediction day can be researched, and prediction technical support is provided for the airport bird strike risks.

The invention discloses a sound wave interference system based on bird behavior analysis, and relates to the technical field of bird behavior analysis sound wave interference. The system comprises a multi-mode ultra-high-definition monitoring module, bird behavior data are collected in all directions by means of various devices, data are processed through a deep space-time correlation analysis module and by means of a mixed deep learning architecture and a knowledge graph, and the bird behavior data are analyzed through a multi-mode ultra-high-definition monitoring module. The intelligent adaptive strategy generation module generates a personalized sound wave strategy according to bird hearing and an evolutionary game theory, the multi-beam directional transmitting module accurately transmits sound waves by using technologies such as a phased array, and the closed-loop feedback module evaluates and optimizes an interference effect. According to the invention, bird behaviors can be accurately analyzed, an adaptive sound wave interference strategy is generated, the risk that birds hit an airplane can be reduced, agricultural harvest is guaranteed, power failures are reduced, the system has the advantages of intelligent adaptation, accurate monitoring, convenient networking management and the like, and an efficient scheme is provided for the bird interference problem in multiple fields.

The invention discloses a high-weather-resistance polycarbonate striped plate and a preparation method thereof. The high-weather-resistance polycarbonate striped plate comprises acrylic, polycarbonate and a striped three-layer structure embedded in the polycarbonate. By compounding the three layers of structures, the excellent weather resistance and light transmission of an acrylic material are successfully reserved, the composite board can keep good optical performance and color stability in long-term outdoor use and effectively resist ultraviolet erosion, the polycarbonate layer is fused, the composite board is endowed with high impact resistance, bird impact can be effectively prevented, fragment splashing can be effectively prevented, and the service life of the composite board is prolonged. The polycarbonate layer and the reasonable material formula design enable the composite board to have high flame retardance and high heat resistance, the unique preparation process ensures that all the layers of materials are tightly combined, the reasonable arrangement of the stripe layer further enhances the structural strength of the board, the performance is ensured, meanwhile, the overall stability and durability of the board are improved, and the service life of the board is prolonged. Therefore, the composite material has higher application value in the fields of buildings, traffic sound barriers and the like, and meets diversified engineering requirements.

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 invention provides a method and device for preventing birds from impacting a glass curtain wall and electronic equipment, and relates to the technical field of bird anti-collision, and the method comprises the following steps: obtaining at least one impact flight path of the glass curtain wall, at least one impact risk area and visual misjudgment factors of each impact risk area; acquiring a monitoring image of a bird activity area corresponding to the target collision risk area acquired by image acquisition equipment and a visual factor of any target collision risk area in the at least one collision risk area; calculating the flight path of the target bird in the monitoring image; according to the flight path, the at least one impact flight path, the visual factor and a visual misjudgment factor of the target impact risk area, analyzing whether the target bird will impact the target impact risk area; under the condition that it is determined that the target bird will collide with the target collision risk area, a warning signal is sent out; the warning signal is used for warning the target bird to change the current flight path. According to the invention, bird strike events can be prevented.

The invention relates to the technical field of airport safety protection, and discloses an airport bird strike and unmanned aerial vehicle intrusion prevention integrated fusion method and system. The method comprises the following steps: acquiring dynamic image data, radar monitoring data and runway use state data of an airport surrounding area; generating bird flock and unmanned aerial vehicle activity characteristic parameters by using a preset model, generating a fusion risk coefficient through multi-source data fusion processing, and dividing early warning levels; a dynamic prevention strategy is generated in combination with the data, and a bird repelling device and unmanned aerial vehicle countering equipment are controlled; and collecting equipment operation feedback data, updating an early warning level and adjusting a prevention strategy. The system comprises a data acquisition module, an identification analysis module, a strategy generation module, an equipment control module and a feedback adjustment module. According to the invention, integrated fusion of bird strike and unmanned aerial vehicle intrusion prevention is realized, the risk is accurately evaluated, the airport safety guarantee capability is improved, and the air transportation safety is guaranteed.

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.

An anti-bird strike reinforcement for the leading edge of an A-shaped aircraft tail, wherein a reinforcement support plate is fixed between the side panels on both sides of the anti-bird strike reinforcement, and the open end of the anti-bird strike reinforcement is fixedly connected to the leading edge auxiliary beam of the aircraft tail. The anti-bird strike reinforcement is located between the leading edge skin and the leading edge auxiliary beam in the leading edge of the aircraft tail, and is distributed between 0 and 100% of the wingspan along the span of the aircraft tail. The present invention improves the rigidity of the reinforcement support plate, effectively cuts the bird body, changes the frontal impact into a side impact, disperses the impact energy, and ensures the integrity of the tail structure and the aerodynamic shape of the tail. The present invention can ensure that the leading edge of the tail has sufficient strength and rigidity, thereby structurally reducing the structural mass of the tail, better meeting the lightweight requirements of the aircraft structural design, and resolving the contradiction between better anti-bird strike performance and lighter total tail mass in the tail structural design of a certain type of aircraft, providing a new solution for the future aircraft tail structural design.

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.

This invention provides a method and system for preventing continuous circling birds from colliding with aircraft. The method includes the following steps: acquiring bird activity within a predetermined area of ​​an airport; acquiring aircraft trajectory information; extracting continuous circling flight activity from the bird activity; comprehensively assessing the bird strike risk based on the aircraft trajectory information and the data from the continuous circling flight activity; and implementing bird deterrence based on the bird strike risk and a predetermined bird deterrence strategy. This method can intelligently prevent continuous circling bird activity, significantly reducing the probability of these birds colliding with aircraft taking off and landing at the airport. By only deterring continuously circling birds, it improves the targeted nature of risk prevention and avoids the problem of birds developing adaptation due to overuse of bird deterrence methods. Furthermore, by precisely implementing bird deterrence methods based on bird activity patterns, it solves the problems of ineffective bird deterrence methods or birds flying erratically after being startled, thus significantly reducing the probability of bird strikes.

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.

The bird-impact-resistant design method for the air inlet channel comprises the steps that S1, performance parameters of a fastener are obtained through a test; s2, establishing a fastener simulation model according to the fastener performance parameters; s3, testing to obtain material performance parameters; s4, establishing a material simulation model according to the material performance parameters; s5, performing a bird strike test to obtain plate bird strike parameters; s6, establishing a board bird strike simulation model, and obtaining unit failure criteria according to board bird strike parameters; s7, bird strike parameters of connecting pieces are obtained through a bird strike test, and the connecting pieces comprise fasteners; s8, establishing a connecting piece bird impact simulation model according to the fastener simulation model, and correcting the fastener simulation model according to the connecting piece bird impact parameters; s9, performing a bird strike test to obtain sector bird strike parameters; s10, establishing a sector bird strike simulation model, and correcting the sector bird strike simulation model according to the sector bird strike parameters; s11, obtaining air inlet bird strike parameters through a bird strike test; and S12, according to the sector bird strike simulation model, establishing an air inlet bird strike simulation model, and according to the air inlet bird strike parameters, correcting the air inlet bird strike simulation model.